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--- |
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license: cc-by-nc-sa-4.0 |
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viewer: false |
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annotations_creators: |
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- expert-generated |
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language: [] |
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language_creators: |
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- expert-generated |
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multilinguality: [] |
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pretty_name: mmcows |
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size_categories: |
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- n>1T |
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source_datasets: |
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- original |
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tags: |
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- cattle |
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- cows |
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- animals |
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- multimodal |
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- visual localization |
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- sensor fusion |
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- UWB localization |
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- precision livestock farming |
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task_categories: |
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- image-classification |
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- object-detection |
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task_ids: |
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- multi-class-image-classification |
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--- |
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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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--> |
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Details of the dataset and benchmarks are available [here](https://github.com/neis-lab/mmcows). |
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For a quick overview of the dataset, please check this [video](https://www.youtube.com/watch?v=YBDvz-HoLWg). |
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<br /> |
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# Instruction for downloading |
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### 1. Install requirements |
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```bash |
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pip install huggingface_hub |
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``` |
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See the file structure [here](https://huggingface.co/datasets/neis-lab/mmcows/tree/main) for the next step. |
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### 2. Download a file individually |
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To download ```visual_data.zip``` to your ```local-dir```, use command line: |
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```bash |
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huggingface-cli download \ |
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neis-lab/mmcows \ |
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visual_data.zip \ |
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--repo-type dataset \ |
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--local-dir ./ |
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``` |
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Using a Python script: |
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```python |
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from huggingface_hub import hf_hub_download |
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hf_hub_download( |
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repo_id="neis-lab/mmcows", |
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repo_type="dataset", |
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local_dir="./", |
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filename="visual_data.zip" |
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) |
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``` |
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To download other files, replace ```visual_data.zip``` with the file you want to download. |
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### 3. Download all files inside a folder |
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To download all files in ```1s_interval_images_3hr``` to your ```local-dir```, use command line: |
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```bash |
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huggingface-cli download \ |
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neis-lab/mmcows \ |
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--repo-type dataset \ |
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--include "1s_interval_images_3hr/*" \ |
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--local-dir ./ |
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``` |