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IndividualAnimalRe-IDDatasets

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a collection of datasets for the re-identification of animal individuals

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# Individual Animal Re-ID Datasets
> [!NOTE] 
> Citations go a long way — give credit where it’s due!

feel free to reach out if you want your dataset to be added to the list: [linkedin 
](https://www.linkedin.com/in/dariakern/)
 
### Table 1: A collection of publicly available computer vision datasets for the re-identification of individual animals
Arranged by date of publicatipn. An asterisk (*) marks data derived from video footage. "n.a." indicates that a corresponding publication could not be found. The number of individuals present in each dataset is listed under "IDs". "Annot\." denotes the total number of annotated instances.

| **Year** | **Dataset** | **Publication** | **IDs** | **Species** | **Annot\.** | **Preview** |
|----------|-------------|-----------------|---------|-------------|-----------------|-------------|
| 2026 | [ZebraStereoID](https://doi.org/10.18419/DARUS-5957) | [RAPID: Real-time animal pattern re-identification on edgedevices, an open-source tool for field deployment](https://doi.org/10.1111/2041-210x.70332) | 9 | Grevy's zebra (Equus grevyi)\* | 14645 | ![ZebraStereoID](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/ZebraStereoID.png) |
| 2026 | [JaguarID](https://doi.org/10.18419/DARUS-5954) | [RAPID: Real-time animal pattern re-identification on edgedevices, an open-source tool for field deployment](https://doi.org/10.1111/2041-210x.70332) | 5 | Jaguar (Panthera onca)\* | 1917 | ![JaguarID](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/JaguarID.png) |
| 2026 | [BalearicLizard](https://doi.org/10.34740/kaggle/ds/8888731) | [A long-term photographic dataset for individual identification of the Balearic wall lizard](https://doi.org/10.1038/s41597-026-07411-z) | 1009 | Balearic wall lizard (Podarcis lilfordi) | 4619 | ![BalearicLizard](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/BalearicLizard.png)|
| 2026 | [SideViewCows2026](https://doi.org/10.5281/zenodo.21605650) | [Automatisierte Erzeugung eines Trainingsdatensatzes zur bildbasierten Tieridentifikation mittels KI (German)](https://doi.org/10.18420/giljt2025_41) | 110 | cattle\* (Holstein Friesian, Simmental, Jersey, Brown Swiss) | 54393 | ![SideViewCows2026](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/SideViewCows2026.png)|
| 2025 | [WildlifeReID-10k ](https://www.kaggle.com/datasets/wildlifedatasets/wildlifereid-10k/code) | [WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals](https://arxiv.org/abs/2406.09211) | 10772 | bird, cat, chicken, chimpanzee, cow, dog, dolphin, fish, giraffe, hyena, leopard, macaque, nyala, panda, polar bear, sea star, sea turtle, seal, tiger, whale, whaleshark, zebra | 140488 | species of 37 datasets from the [wildlife-datasets python library](https://github.com/WildlifeDatasets/wildlife-datasets)|
| 2025 | [GCN-ID](https://doi.org/10.5281/zenodo.18000809) | [GCN-ID: A Benchmark Dataset for Great Crested Newt Re-Identification Using AI Foundation Models](https://bmva-archive.org.uk/bmvc/2025/assets/workshops/MVCC/Paper_13/paper.pdf) | 206 | Great crested newt (Triturus cristatus) | 1232 | ![GCN-ID](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/GCN-ID.png)|
| 2025 | [CzechLynx](https://www.kaggle.com/datasets/18c74c4c3b0687891f0ae10673af68a3adef3d5a478bfc336aa75b7eb3a4e6a9) | [CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx](https://doi.org/10.48550/arXiv.2506.04931) | 219 | Eurasian lynx | 37,400 real + 100k synthetic | ![CzechLynx](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/CzechLynx.png)|
| 2025 | [Cattle Face Dataset](https://pan.baidu.com/s/1wHKT-6R6B9OtxaYZ2N4MOw?pwd=6ckt) | [Enhanced multi-breed cattle face recognition in complex environments using attention-based deep learning](https://doi.org/10.1007/s00371-025-03910-z) | 1957| cattle\* (Simmental, Angus, Hereford, Limousin, Charolais, Piedmontese, Sanhe, Japanese Wagyu) | 14047 | ![cattleFaceDataset](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/cattleFaceDataset.png)|
| 2025 | [CoBRA re identidication youngstock](https://zenodo.org/records/15018518) | [Dynamic Multi-Behaviour, Orientation-Invariant Re-Identification of Holstein-Friesian Cattle](https://doi.org/10.3390/s25102971) | 48 | (red) Holstein-Friesian cattle\* | 11438 | ![CoBRA](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/CoBRA.png)|
| 2025 | [FaroPigReID-33](https://github.com/yudong888/FaroPig-Datasets) | [Housed pig identification and tracking for precision livestock farming](https://doi.org/10.1016/j.eswa.2025.128466) | 33 | pig* | 92541 | ![FaroPigReID](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/FaroPigReID.png)|
| 2024 | [Chicks4FreeID](https://doi.org/10.57967/hf/2345) | [Towards Automated Chicken Monitoring: Dataset and Machine Learning Methods for Visual, Noninvasive Reidentification](https://doi.org/10.3390/ani15010001) | 50, 2, 2 | chicken, duck, rooster | 1215, 40, 15 | ![chicks4freeid](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/chicks4freeid.png)|
| 2024 | [SeaTurtleID2022](https://www.kaggle.com/datasets/wildlifedatasets/seaturtleid2022) | [SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification](https://doi.org/10.1109/WACV57701.2024.00699) | 438 | sea turtle | 8729 |![seaTurtleID](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/SeaTurtleID2022.png)|
| 2024 | [SheepDataset](https://pan.baidu.com/s/1EOIO4C4c1VxF5UIEaOXkrQ?pwd=13no) | [SheepNet: Rapid Sheep Face Recognition Based on Attention and Knowledge Distillation](https://doi.org/10.1007/978-981-97-8502-5_18) | 56 | Small-tailed Han sheep\* | 5285 |![SheepDataset](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/SheepDataset.png)|
| 2023 | [Mammal Club \(IISD\)](https://github.com/WJ-0425/MammalClub) | [MammalClub: An Annotated Wild Mammal Dataset for Species Recognition, Individual Identification, and Behavior Recognition](https://doi.org/10.3390/electronics12214506) | 218 | 11 terrestrial mammal species\* | 33612 |![MammalClub](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/MammalClub.png)|
| 2023 | [Multi\-pose dog dataset](https://data.mendeley.com/datasets/v5j6m8dzhv/1) | [Animal Re-Identification Algorithm for Posture Diversity](https://doi.org/10.1109/ICASSP49357.2023.10094783) | 192 | dog | 1657 |![multiPoseDog](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/multiPoseDog.png)|
| 2023 | [PolarBearVidID](https://doi.org/10.5281/zenodo.7564529) | [PolarBearVidID: A Video-Based Re-Identification Benchmark Dataset for Polar Bears](https://doi.org/10.3390/ani13050801) | 13 | polar bear\* | 138363 |                  ![PolarBearVidID](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/polarBearVidID.png)|
| 2023 | [Sea Star Re\-ID](https://lila.science/sea-star-re-id-2023/) | [An open-source general purpose machine learning framework for individual animal re-identification using few-shot learning](https://doi.org/10.1111/2041-210X.14278) | 39, 56 | common starfish, Australian cushion star | 1204, 983 |![seaStarReID](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/seaStarReID.png)|
| 2022 | [Goat Image Dataset](https://dx.doi.org/10.17632/4skwhnrscr.2) | [Real-time goat face recognition using convolutional neural network](https://doi.org/10.1016/j.compag.2022.106730) | 10 | Saanen goat | 1311 |![GoatImageDataset](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/GoatImageDataset.jpg)|
| 2022 | [Animal\- Identification\- from\-Video](https://github.com/LucyKuncheva/Animal-Identification-from-Video) | [A Benchmark Database for Animal Re-Identification and Tracking](https://doi.org/10.1109/IPAS55744.2022.10052988) | 58, 26, 9 | pigeon\*, pig\*, Koi fish\* | 12671, 6184, 1635 | ![idfromvideo](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/idfromvideo.png) |
| 2022 | [Beluga ID](https://lila.science/datasets/beluga-id-2022/) | n\.a\. | 788 | beluga whale | 5902 |![belugaID](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/belugaID.png)|
| 2022 | [Happywhale](https://kaggle.com/competitions/happy-whale-and-dolphin) | n\.a\. | 15587 | 30 different species of whales and dolphins | 51033 |![happywhale](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/happywhale.jpg)|
| 2022 | [Hyiena ID](https://lila.science/datasets/hyena-id-2022/) | n\.a\. | 256 | spotted hyena | 3129 |![hyienaID](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/hyienaID.png)|
| 2022 | [Leopard ID](https://lila.science/datasets/leopard-id-2022/) | n\.a\. | 430 | African leopard | 6805 |![leopardID](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/leopardID.png)|
| 2022 | [SealID](https://doi.org/10.23729/0f4a3296-3b10-40c8-9ad3-0cf00a5a4a53) | [SealID: Saimaa Ringed Seal Re-Identification Dataset](https://doi.org/10.3390/s22197602) | 57 | Saimaa ringed seal | 2080 | ![seal](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/seal.jpg)|
| 2022 | [SeaTurtleIDHeads](https://www.kaggle.com/datasets/wildlifedatasets/seaturtleidheads) | [SeaTurtleID: A novel long-span dataset highlighting the importance of timestamps in wildlife re-identification](https://doi.org/10.48550/arXiv.2211.10307) | 400 | sea turtle | 7774 |![seaTurtleIDHeads](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/seaTurtleIDHeads.png)|
| 2022 | [Turtle Recall](https://zindi.africa/competitions/turtle-recall-conservation-challenge/data) | n\.a\. | 100 | sea turtle | 2145 |![turtleRecall](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/turtleRecall.png)|
| 2021 | [BristolGorillas2020](https://doi.org/10.5523/bris.jf0859kboy8k2ufv60dqeb2t8) | [A Dataset and Application for Facial Recognition of Individual Gorillas in Zoo Environments](https://doi.org/10.48550/arXiv.2012.04689) | 7 | western lowland gorilla\* | 5428 |![BristolGorillas2020](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/BristolGorillas2020.png)|
| 2021 | [Cow Dataset](https://doi.org/10.6084/m9.figshare.16879780) | [Individual dairy cow identification based on lightweight convolutional neural network](https://doi.org/10.1371/journal.pone.0260510) | 13 | cow | 3772 | ![cow](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/cow.jpg) |
| 2021 | [Cows2021](https://doi.org/10.5523/bris.4vnrca7qw1642qlwxjadp87h7) | [Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset](https://doi.org/10.48550/arXiv.2105.01938) | 182 | Holstein\-Friesian cattle\* | 13784 | ![cows2021](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/cows2021.png) |
| 2021 | [Giraffe Dataset](https://plmlab.math.cnrs.fr/vmiele/animal-reid/) | [Revisiting animal photo-identification using deep metric learning and network analysis](https://doi.org/10.1111/2041-210X.13577) | 62 | giraffe | 624 |![Giraffe](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/Giraffe.png)|
| 2021 | [iPanda\-50](https://github.com/iPandaDateset/iPanda-50) | [Giant Panda Identification](https://doi.org/10.1109/TIP.2021.3055627) | 50 | giant panda | 6874 | ![iPanda50](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/iPanda50.png) |
| 2021 | [300-Cattle-source](https://cloud.une.edu.au/index.php/s/eMwaHAPK08dCDru) | [Automated Muzzle Detection and Biometric Identification via Few-Shot Deep Transfer Learning of Mixed Breed Cattle](https://doi.org/10.3390/agronomy11112365 ) | 300 | Bos taurus beef cattle (including Angus, Hereford Charolais and Simmenta) | 2900 | ![300-Cattle-source](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/300-Cattle-source.png) |
| 2020 | [AAU Zebrafish Dataset](https://www.kaggle.com/datasets/aalborguniversity/aau-zebrafish-reid) | [Re-Identification of Zebrafish using Metric Learning](https://doi.org/10.1109/WACVW50321.2020.9096922) | 6 | zebrafish\* | 6672 | ![zebrafish](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/zebrafish.png) |
| 2020 | [Animal Face Dataset](https://doi.org/10.17632/z3x59pv4bz.2) | [Automatic Identification of Individual Primates with Deep Learning Techniques](https://doi.org/10.1016/j.isci.2020.101412) | 1040 | 41 primate species | 102399 |![animalFaceDataset](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/animalFaceDataset.png)|
| 2020 | [ATRW](https://lila.science/datasets/atrw) | [ATRW: A Benchmark for Amur Tiger Re-identification in the Wild](https://doi.org/10.1145/3394171.3413569) | 92 | Amur tiger\* | 3649 | ![tiger](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/tiger.jpg) |
| 2020 | [Lion Face Dataset](https://github.com/tvanzyl/wildlife_reidentification/) | [Automated Identification of Individuals in Wildlife Population Using Siamese Neural Networks](https://doi.org/10.1109/ISCMI51676.2020.9311574) | 94 | lion | 740 |![lionFace](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/lionFace.png)|
| 2020 | [NDD20](https://doi.org/10.25405/data.ncl.c.4982342) | [NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation](https://doi.org/10.48550/arXiv.2005.13359) | 44, 82 | bottlenose and white\-beaked dolphin, white\-beaked dolphin \(underwater\)\* | 2201, 2201 |![NDD20](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/NDD20.png)|
| 2020 | [Nyala Data](https://github.com/tvanzyl/wildlife_reidentification/) | [Automated Identification of Individuals in Wildlife Population Using Siamese Neural Networks](https://doi.org/10.1109/ISCMI51676.2020.9311574) | 237 | nyala | 1942 |![nyalaData](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/nyalaData.png)|
| 2020 | [OpenCows2020](https://doi.org/10.5523/bris.10m32xl88x2b61zlkkgz3fml17) | [Visual identification of individual Holstein-Friesian cattle via deep metric learning](https://doi.org/10.1016/j.compag.2021.106133) | 46 | Holstein\-Friesian cattle\* | 4736 |![openCows2020](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/openCows2020.png)|
| 2019 | [Bird individualID](https://github.com/AndreCFerreira/Bird_individualID) | [Deep learning-based methods for individual recognition in small birds](https://doi.org/10.1111/2041-210X.13436) | 30, 10, 10 | sociable weaver, great tit, zebra finch | 51934 |![birdIndividualID](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/birdIndividualID.png)|
| 2019 | [Dog Face Dataset](https://github.com/GuillaumeMougeot/DogFaceNet)| [A Deep Learning Approach for Dog Face Verification and Recognition](https://doi.org/10.1007/978-3-030-29894-4_34) | 1393 | dog | 8363 | ![dog](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/dog.jpg) |
| 2018 | [Cat Individual Images](https://www.kaggle.com/datasets/timost1234/cat-individuals) | [Cat face recognition using deep learning](http://dx.doi.org/10.13031/aim.201800316) | 518 | cat | 13536 | ![cat](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/cat.jpg) |
| 2018 | [Fruit Fly Dataset](https://doi.org/10.5683/SP2/JP4WDF) | [Can Drosophila melanogaster tell who’s who?](https://doi.org/10.1371/journal.pone.0205043) | 60 | fruit fly\* | 2592000 |![fruitFlyDataset](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/fruitFlyDataset.png)|
| 2018 | [HumpbackWhaleID](https://kaggle.com/competitions/humpback-whale-identification) | n\.a\. | 5004 | humpback whale | 15697 |![humpbackWhaleID](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/humpbackWhaleID.png)|
| 2018 | [MacaqueFaces](https://github.com/clwitham/MacaqueFaces) | [Automated face recognition of rhesus macaques](https://doi.org/10.1016/j.jneumeth.2017.07.020) | 34 | rhesus macaque\* | 6280 | ![macaqueFaces](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/macaqueFaces.png) |
| 2017 | [AerialCattle2017](https://doi.org/10.5523/bris.3owflku95bxsx24643cybxu3qh) | [Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning](https://doi.org/10.1109/ICCVW.2017.336) | 23 | Holstein\-Friesian cattle\* | 46340 |![aerialCattle2017](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/aerialCattle2017.png)|
| 2017 | [FriesianCattle2017](https://doi.org/10.5523/bris.2yizcfbkuv4352pzc32n54371r) | [Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning](https://doi.org/10.1109/ICCVW.2017.336) | 89 | Holstein\-Friesian cattle\* | 940 |![friesianCattle2017](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/friesianCattle2017.png)|
| 2017 | [GZGC](https://lila.science/datasets/great-zebra-giraffe-id) | [Animal population censusing at scale with citizen science and photographic identification](http://arks.princeton.edu/ark:/88435/pr1s791) | 2056 | plains zebra and Masai giraffe | 6925 |![GZGC](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/GZGC.png)|
| 2016 | [C\-Tai](https://github.com/cvjena/chimpanzee_faces) | [Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates](https://doi.org/10.1007/978-3-319-45886-1_5) | 78 | chimpanzee | 5078 |![c-Tai](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/c-Tai.png)|
| 2016 | [C\-Zoo](https://github.com/cvjena/chimpanzee_faces) | [Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates](https://doi.org/10.1007/978-3-319-45886-1_5) | 24 | chimpanzee | 2109 |![c-Zoo](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/c-Zoo.png)|
| 2016 | [FriesianCattle2015](https://doi.org/10.5523/bris.wurzq71kfm561ljahbwjhx9n3) | [Automatic individual Holstein Friesian cattle identification via selective local coat pattern matching in RGB-D imagery](https://doi.org/10.1109/ICIP.2016.7532404) | 40 | Holstein\-Friesian cattle\* | 377 |![friesianCattle2015](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/friesianCattle2015.png)|
| 2015 | [Right Whale Recognition](https://kaggle.com/competitions/noaa-right-whale-recognition) | n\.a\. | 447 | North Atlantic right whale | 4544 |![rightWhaleRecognition](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/rightWhaleRecognition.png)|
| 2011 | [StripeSpotter](https://code.google.com/archive/p/stripespotter/downloads) | [Biometric animal databases from field photographs: identification of individual zebra in the wild](https://doi.org/10.1145/1991996.1992002) | 45 | plains and Grevy’s zebra | 820 |![stripeSpotter](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/stripeSpotter.png)|
| 2009 | [Whale Shark ID](https://lila.science/datasets/whale-shark-id) | [Estimating population size, structure, and residency time for whale sharks Rhincodon typus through collaborative photo-identification](https://doi.org/10.3354/esr00186) | 543 | whale shark | 7693 |![whaleSharkID](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/previewImages/whaleSharkID.png)|
 
 
 
> [!TIP]
> The [Wildlife Datasets Toolkit](https://github.com/WildlifeDatasets/wildlife-datasets) is an open-source toolkit for animal re-ID. It gathers publicly available animal re-ID datasets in one place in an effort to make them more easily accessible and to improve usability. Many of the above listed datasets have been added to the Toolkit.
> 
> The [MegaDescriptor](https://huggingface.co/BVRA/MegaDescriptor-L-384) is a state-of-the-art model for animal re-ID and part of the Wildlife Datasets Toolkit. It was trained on several animal datasets and is species agnostic.
<!--# IndividualAnimalRe-IDDatasets
### a collection of publicly available computer vision datasets for the re-identification of individual animals

|Dataset|# of Individuals|Data|Content|Labels|License|
|--------|--------|--------|--------|--------|--------|
|[AAU Zebrafish Re-Identification Dataset](https://www.kaggle.com/datasets/aalborguniversity/aau-zebrafish-reid) ![zebrafish](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/zebrafish.png)|6 zebrafish|2 videos resulting in 2224 images|side-view of fish in a tank|BB + identity annotations|CC BY 4.0|
|[ATRW](https://www.kaggle.com/datasets/quadeer15sh/amur-tiger-reidentification) ![tiger](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/tiger.jpg)|92 tigers|8076 videos|tigers in unconstrained poses|BB + keypoint-based pose + identity annotations|CC BY-NC-SA 4.0|
|[Cat Individual Images](https://www.kaggle.com/datasets/timost1234/cat-individuals) ![cat](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/cat.jpg)|518 cats|13536 images|front-view of cats with a focus on faces|identity annotations|CC BY 4.0|
|[Cow Dataset](https://doi.org/10.6084/m9.figshare.16879780) ![cow](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/cow.jpg)|13 cows|3772 Images|side-view of cows|identity annotations|CC BY 4.0|
|[Cows2021](https://data.bris.ac.uk/data/dataset/4vnrca7qw1642qlwxjadp87h7) ![cows2021](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/cows2021.png)|186 cows|10402 images + 301 videos|top down view of the cows body|oriented BB + identity + tracklet annotations|CC BY-NC-SA 4.0|
|[Dog Face Recognition](https://www.kaggle.com/datasets/wutheringwang/dog-face-recognition) ![dog](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/dog.jpg)|1174 dogs|?? images|dog faces|identity annotations|CC0: Public Domain|
|[Happy Whale](https://www.kaggle.com/competitions/happy-whale-and-dolphin/data) ![happywhale](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/happywhale.jpg)|15587 whales and dolphins|51033 images|30 species of whales and dolphins entierely or partly above the water surface|identity annotations|Competition, Academic, and Non-Commercial Use Only|
|[SealID](https://doi.org/10.23729/0f4a3296-3b10-40c8-9ad3-0cf00a5a4a53) ![seal](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/seal.jpg)|57 seals|2080 images|seals in unconstrained poses on land|identity annotations|CC BY 4.0|
|[iPanda-50](https://github.com/iPandaDateset/iPanda-50) ![giantpanda](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/giantpanda.jpg)|50 giant pandas|6874 images|pandas in unconstrained poses|identity annotations|??|
|[Animal-Identification-from-Video](https://github.com/LucyKuncheva/Animal-Identification-from-Video) ![idfromvideo](https://raw.githubusercontent.com/DariaKern/IndividualAnimalRe-IDDatasets/main/idfromvideo.png)|26 pigs, 9 koi fish, 58 pigeons|5 videos resulting in 2379 frames| pigs (above/side view), koi fish (top down view) and pigeons on the ground (sideview) in unconstrained poses|BB + identity annotaions|pixabay license|

### Table 2: Further publications on the topic 
where the dataset could not be found and might not be public OR is only available on request

|Year|Publication|Species|Identifying Feature|Note|
|--------|--------|--------|--------|--------|
|2025| [PetFace: A Large-Scale Dataset and Benchmark for Animal Identification](https://doi.org/10.1007/978-3-031-72649-1_2)| Cat, Chimp, Chinchilla, Degus, Dog, Ferret, Guinea, Hamster, Hedgehog, Parakeet, Java, Pig, Rabbit| face | d |
|2024| [Transformer-Based Similarity Learning for Re-Identification of Chickens](http://dx.doi.org/10.2139/ssrn.4886408) |Chicken|head||
|2023| [A Purely Visual Re-ID Approach for Bumblebees (Bombus terrestris)](https://doi.org/10.1016/j.atech.2022.100135) | Bumblebee| body||
|2022| [Honeybee Re-identification in Video: New Datasets and Impact of Self-supervision](https://jachansantiago.com/assets/pdf/VISAPP.pdf) |Honey Bees|abdomen||
|2021| [YakReID-103: A Benchmark for Yak Re-Identification](https://doi.org/10.1109/IJCB52358.2021.9484341) |Yak|fur, texture, horns||
|2021| [Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings](https://doi.org/10.1109/DICTA52665.2021.9647359) |Manta Rays|belly markings||
|2021| [Dog Nose-Print Identification Using Deep Neural Networks](https://doi.org/10.1109/ACCESS.2021.3068517) |Dogs|nose||
|2021| [Assessing the performance of open-source, semi-automated pattern recognition software for harbour seal (P. v. vitulina) photo ID](https://doi.org/10.1007/s42991-021-00165-8) |Harbour Seal|body pattern||
|2020|[Bumblebee Re-Identification Dataset](https://doi.org/10.1109/WACVW50321.2020.9096909)|Bumblebee|body|b|
|2020|[A study on giant panda recognition based on images of a large proportion of captive pandas](https://doi.org/10.1002/ece3.6152)|Giant Panda|face||
|2020|[Automated facial recognition for wildlife that lack unique markings: A deep learning approach for brown bears](https://doi.org/10.1002/ece3.6840)|Brown Bear|face||
|2020|[Image-based Individual Cow Recognition using Body Patterns](https://dx.doi.org/10.14569/IJACSA.2020.0110311)|4 Species of Cow|body pattern||
|2019|[ELPephants: A Fine-Grained Dataset for Elephant Re-Identification](https://doi.org/10.1109/ICCVW.2019.00035)|Elephants|tusks, body shapes, injury marks|a|
|2019|[Chimpanzee face recognition from videos in the wild using deep learning](https://doi.org/10.1126/sciadv.aaw0736)|Chimpanzee|face||
|2019|[Distinguishing Individual Red Pandas from Their Faces](https://doi.org/10.1007/978-3-030-31723-2_61)|Red Panda|face||
|2018|[Individual Common Dolphin Identification Via Metric Embedding Learning](https://doi.org/10.1109/IVCNZ.2018.8634778)|Common Dolphin|fin||
|2018|[Individual Minke Whale Recognition Using Deep Learning Convolutional Neural Networks](https://doi.org/10.4236/gep.2018.65003)|Dwarf Minke Whale|fin, scars, body||
|2018|[Multi-views Embedding for Cattle Re-identification](https://doi.org/10.1109/SITIS.2018.00036)|Cattle|face||
|2016|[Automated Visual Fin Identification of Individual Great White Sharks]( https://doi.org/10.1007/s11263-016-0961-y)|Great White Shark|fin|c|
|2013|[An automated chimpanzee identification system using face detection and recognition](https://doi.org/10.1186/1687-5281-2013-49)|Chimpanzee|face||

[a] can be accessed through the [Wildlife Datasets Toolkit](https://github.com/WildlifeDatasets/wildlife-datasets) 
 
 [b] please refer to data@apic.ai for early access

[c] to obtain a copy please directly contact: Michael C. Scholl, Save Our Seas Foundation (CEO), Michael@SaveOurSeas.com

[d] available on request through this [form](https://forms.gle/xgkZSg6yWjfBhCGE6)

### More resources
|Website|Dataset|Species|Identifying Feature|
|--------|--------|--------|--------|
|[Sarasota Dolphin Research Program](https://sarasotadolphin.org/)|[GoMDIS](https://sarasotadolphin.org/gomdis/)|bottlenose dolphins|dorsal fin|
|[Cascadia Research Collective](https://cascadiaresearch.org/)|[Photo-ID Project](https://cascadiaresearch.org/project/photo-id/)|humpback and blue whale|flukes (humpback whale), dorsal fin (blue whale)| 
|[OBIS-SEAMAP](https://seamap.env.duke.edu/content/about)|[various datasets](https://seamap.env.duke.edu/dataset/list)|[various species](https://seamap.env.duke.edu/species/list)|-|
|[Species 360](https://species360.org/)|[various data](https://conservation.species360.org/data-sharing/)|various species|-|
|[Bay Cetology](https://baycetology.org/)|Bigg’s killer whale photo-ID data|killer whale|-|

### Further reading
I'd like to highlight this publication from 2021 which gives a great overview of the entire topic
[Perspectives on Individual Animal Identification from Biology and Computer Vision](https://doi.org/10.1093/icb/icab107)

## 🖋️ Citation 
```tex
@misc{Kern_Individual_Animal_Re-ID_Datasets,
 author = {Daria Kern},
 title = {Individual Animal Re-ID Datasets},
 year = {2025},
 publisher = {GitHub},
 journal = {GitHub repository},
 howpublished = {\url{https://github.com/DariaKern/IndividualAnimalRe-IDDatasets}},
}
```

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