mlsanityData to 7 Oct 2026

WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals

arXiv 2406.09211 ↗First posted 13 Jun 2024cs.CVcited by 19

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Abstract (arXiv)

This paper introduces WildlifeReID-10k, a new large-scale re-identification benchmark with more than 10k animal identities of around 33 species across more than 140k images, re-sampled from 37 existing datasets. WildlifeReID-10k covers diverse animal species and poses significant challenges for SoTA methods, ensuring fair and robust evaluation through its time-aware and similarity-aware split protocol. The latter is designed to address the common issue of training-to-test data leakage caused by visually similar images appearing in both training and test sets. The WildlifeReID-10k dataset and benchmark are publicly available on Kaggle, along with strong baselines for both closed-set and open-set evaluation, enabling fair, transparent, and standardized evaluation of not just multi-species animal re-identification models.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). Builds on 16 of its 66 references that are in the map. First posted on arXiv 13 Jun 2024.

Builds on

16 of 66 references.

References · 16

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  9. 2018Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Datacited by 45
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  11. 2020Visual Identification of Individual Holstein-Friesian Cattle via Deep Metric Learningcited by 26
  12. 2022SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identificationcited by 25
4 more
  1. 2020NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisationcited by 24
  2. 2022SealID: Saimaa ringed seal re-identification datasetcited by 22
  3. 2021Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Datasetcited by 21
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 6; 2026: 13.

19 papers.

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  1. 2025GorillaWatch: An Automated System for In-the-Wild Gorilla Re-Identification and Population Monitoringcited by 4
  2. 2025Finer-Personalization Rank: Fine-Grained Retrieval Examines Identity Preservation for Personalized Generationcited by 2
  3. 2025Wildlife Target Re-Identification Using Self-supervised Learning in Non-Urban Settingscited by 1
  4. 2025Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognitioncited by 1
  5. 2026Degradation-based augmented training for robust individual animal re-identificationcited by 1
  6. 2025PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifierscited by 0
  7. 2025Not All Birds Look The Same: Identity-Preserving Generation For Birdscited by 0
  8. 2026Automated Re-Identification of Holstein-Friesian Cattle in Dense Crowdscited by 0
  9. 2026From Visual to Multimodal: Systematic Ablation of Encoders and Fusion Strategies in Animal Identificationcited by 0
  10. 2026ID-Sim: An Identity-Focused Similarity Metriccited by 0
  11. 2026Centering Ecological Goals in Automated Identification of Individual Animalscited by 0
  12. 2026Multi-Object Tracking Consistently Improves Wildlife Inferencecited by 0
7 more
  1. 2026Spotted: Location-informed Reidentification of Hyenas and Leopards in Camera Trap Surveyscited by 0
  2. 2026DS@GT ARC at AnimalCLEF 2026: Species-Aware Graph Construction for Multi-Species Animal Re-Identificationcited by 0
  3. 2026DARA: Degradation-Aware Low-Rank Residual Adaptation with Original-to-Corrupted Distillation for Corruption-Robust Animal Re-Identificationcited by 0
  4. 2026Calibrated Similarity and Graph Clustering for Open-Set Animal Re-Identificationcited by 0
  5. 2026VastMAT: A Large-Scale Multi-Category Benchmark for Multi-Animal Trackingcited by 0
  6. 2026FM-ReID: Selective Competitive Token Routing for Object Re-Identificationcited by 0
  7. 2026Masked Swingers: Harnessing Data Augmentation to Advance Autoencoders for Self-Supervised Learningcited by 0