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license: cc-by-nc-sa-4.0 |
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viewer: false |
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## MmCows: A Multimodal Dataset for Dairy Cattle Monitoring |
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MmCows is a large-scale multimodal dataset for behavior monitoring, health management, and dietary management of dairy cattle. |
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The dataset consists of data from 16 dairy cows collected during a 14-day real-world deployment, divided into two modality groups. The primary group includes 3D UWB location, cows' neck IMMU acceleration, air pressure, cows' CBT, ankle acceleration, multi-view RGB images, indoor THI, outdoor weather, and milk yield. The secondary group contains measured UWB distances, cows' head direction, lying behavior, and health records. |
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MmCows also contains 20,000 isometric-view images from multiple camera views in one day that are annotated with cows' ID and their behavior as the ground truth. The annotated cow IDs from multi-views are used to derive their 3D body location ground truth. |
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More details of the dataset and benchmarks are available at https://github.com/neis-lab/mmcows. |
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Brief overview video: https://www.youtube.com/watch?v=YBDvz-HoLWg |
