The iWildCam 2018 Challenge Dataset
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Abstract (arXiv)
Camera traps are a valuable tool for studying biodiversity, but research using this data is limited by the speed of human annotation. With the vast amounts of data now available it is imperative that we develop automatic solutions for annotating camera trap data in order to allow this research to scale. A promising approach is based on deep networks trained on human-annotated images. We provide a challenge dataset to explore whether such solutions generalize to novel locations, since systems that are trained once and may be deployed to operate automatically in new locations would be most useful.
Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Apr 2019.
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Citing papers per year: 2021: 5; 2022: 4; 2023: 2; 2024: 1; 2025: 1; 2026: 1.
14 papers.
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- 2021The iWildCam 2021 Competition Datasetcited by 77
- 2022The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Countingcited by 24
- 2022Bugs in the Data: How ImageNet Misrepresents Biodiversitycited by 24
- 2022SealID: Saimaa ringed seal re-identification datasetcited by 22
- 2021Species Distribution Modeling for Machine Learning Practitioners: A Reviewcited by 21
- 2022Domain Generalization -- A Causal Perspectivecited by 14
- 2023Low-power, Continuous Remote Behavioral Localization with Event Camerascited by 9
- 2021ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identificationcited by 8
- 2023Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphscited by 4
- 2021Domain Adaptation for Rare Classes Augmented with Synthetic Samplescited by 3
- 2026Lessons and Open Questions from a Unified Study of Camera-Trap Species Recognition Over Timecited by 3
- 2024Fourier-based Action Recognition for Wildlife Behavior Quantification with Event Camerascited by 2
- 2026Lessons and Open Questions from a Unified Study of Camera-Trap Species Recognition Over Time20 Mar 2026
- 2025Evaluating Deep Learning Models for African Wildlife Image Classification: From DenseNet to Vision Transformers28 Jul 2025
- 2024Fourier-based Action Recognition for Wildlife Behavior Quantification with Event Cameras9 Oct 2024
- 2023Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs31 Dec 2023
- 2023Low-power, Continuous Remote Behavioral Localization with Event Cameras6 Dec 2023
- 2022Domain Generalization -- A Causal Perspective30 Sep 2022
- 2022Bugs in the Data: How ImageNet Misrepresents Biodiversity24 Aug 2022
- 2022The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting19 Jul 2022
- 2022SealID: Saimaa ringed seal re-identification dataset5 Jun 2022
- 2021Domain Adaptation for Rare Classes Augmented with Synthetic Samples23 Oct 2021
- 2021Species Distribution Modeling for Machine Learning Practitioners: A Review3 Jul 2021
- 2021ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification29 Jun 2021
2 more
- 2021Image-to-Image Translation of Synthetic Samples for Rare Classes23 Jun 2021
- 2021The iWildCam 2021 Competition Dataset7 May 2021
- 2021The iWildCam 2021 Competition Datasetcited by 77
- 2022The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Countingcited by 24
- 2022Bugs in the Data: How ImageNet Misrepresents Biodiversitycited by 24
- 2022SealID: Saimaa ringed seal re-identification datasetcited by 22
- 2021Species Distribution Modeling for Machine Learning Practitioners: A Reviewcited by 21
- 2022Domain Generalization -- A Causal Perspectivecited by 14
- 2023Low-power, Continuous Remote Behavioral Localization with Event Camerascited by 9
- 2021ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identificationcited by 8
- 2023Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphscited by 4
- 2021Domain Adaptation for Rare Classes Augmented with Synthetic Samplescited by 3
- 2026Lessons and Open Questions from a Unified Study of Camera-Trap Species Recognition Over Timecited by 3
- 2024Fourier-based Action Recognition for Wildlife Behavior Quantification with Event Camerascited by 2
12 most cited of 14 All 14 (JSON)
- 2026Lessons and Open Questions from a Unified Study of Camera-Trap Species Recognition Over Time20 Mar 2026
- 2025Evaluating Deep Learning Models for African Wildlife Image Classification: From DenseNet to Vision Transformers28 Jul 2025
- 2024Fourier-based Action Recognition for Wildlife Behavior Quantification with Event Cameras9 Oct 2024
- 2023Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs31 Dec 2023
- 2023Low-power, Continuous Remote Behavioral Localization with Event Cameras6 Dec 2023
- 2022Domain Generalization -- A Causal Perspective30 Sep 2022
- 2022Bugs in the Data: How ImageNet Misrepresents Biodiversity24 Aug 2022
- 2022The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting19 Jul 2022
- 2022SealID: Saimaa ringed seal re-identification dataset5 Jun 2022
- 2021Domain Adaptation for Rare Classes Augmented with Synthetic Samples23 Oct 2021
- 2021Species Distribution Modeling for Machine Learning Practitioners: A Review3 Jul 2021
- 2021ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification29 Jun 2021
12 newest of 14 All 14 (JSON)