SmartWilds: Multimodal Wildlife Monitoring Dataset
Fuente:
arXiv
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| Autori principali: | , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866917060623204352 |
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| author | Kline, Jenna Potlapally, Anirudh Pillai, Bharath Wani, Tanishka Katole, Rugved Patil, Vedant Covey, Penelope Subramoni, Hari Berger-Wolf, Tanya Stewart, Christopher |
| author_facet | Kline, Jenna Potlapally, Anirudh Pillai, Bharath Wani, Tanishka Katole, Rugved Patil, Vedant Covey, Penelope Subramoni, Hari Berger-Wolf, Tanya Stewart, Christopher |
| contents | We present the first release of SmartWilds, a multimodal wildlife monitoring dataset. SmartWilds is a synchronized collection of drone imagery, camera trap photographs and videos, and bioacoustic recordings collected during summer 2025 at The Wilds safari park in Ohio. This dataset supports multimodal AI research for comprehensive environmental monitoring, addressing critical needs in endangered species research, conservation ecology, and habitat management. Our pilot deployment captured four days of synchronized monitoring across three modalities in a 220-acre pasture containing Pere David's deer, Sichuan takin, Przewalski's horses, as well as species native to Ohio. We provide a comparative analysis of sensor modality performance, demonstrating complementary strengths for landuse patterns, species detection, behavioral analysis, and habitat monitoring. This work establishes reproducible protocols for multimodal wildlife monitoring while contributing open datasets to advance conservation computer vision research. Future releases will include synchronized GPS tracking data from tagged individuals, citizen science data, and expanded temporal coverage across multiple seasons. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_18894 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SmartWilds: Multimodal Wildlife Monitoring Dataset Kline, Jenna Potlapally, Anirudh Pillai, Bharath Wani, Tanishka Katole, Rugved Patil, Vedant Covey, Penelope Subramoni, Hari Berger-Wolf, Tanya Stewart, Christopher Computer Vision and Pattern Recognition We present the first release of SmartWilds, a multimodal wildlife monitoring dataset. SmartWilds is a synchronized collection of drone imagery, camera trap photographs and videos, and bioacoustic recordings collected during summer 2025 at The Wilds safari park in Ohio. This dataset supports multimodal AI research for comprehensive environmental monitoring, addressing critical needs in endangered species research, conservation ecology, and habitat management. Our pilot deployment captured four days of synchronized monitoring across three modalities in a 220-acre pasture containing Pere David's deer, Sichuan takin, Przewalski's horses, as well as species native to Ohio. We provide a comparative analysis of sensor modality performance, demonstrating complementary strengths for landuse patterns, species detection, behavioral analysis, and habitat monitoring. This work establishes reproducible protocols for multimodal wildlife monitoring while contributing open datasets to advance conservation computer vision research. Future releases will include synchronized GPS tracking data from tagged individuals, citizen science data, and expanded temporal coverage across multiple seasons. |
| title | SmartWilds: Multimodal Wildlife Monitoring Dataset |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2509.18894 |