MmCows: A Multimodal Dataset for Dairy Cattle Monitoring

Details of the dataset and benchmarks are available here.

For a quick overview of the dataset, please check this video.

Instruction for downloading

1. Install requirements

pip install huggingface_hub

See the file structure here for the next step.

2. Download a file individually

To download visual_data.zip to your local-dir, use command line:

huggingface-cli download \
  neis-lab/mmcows \
    visual_data.zip \
  --repo-type dataset \
  --local-dir ./

Using a Python script:

from huggingface_hub import hf_hub_download
hf_hub_download(
    repo_id="neis-lab/mmcows",
    repo_type="dataset",
    local_dir="./",
    filename="visual_data.zip"
)

To download other files, replace visual_data.zip with the file you want to download.

3. Download all files inside a folder

To download all files in 1s_interval_images_3hr to your local-dir, use command line:

huggingface-cli download \
  neis-lab/mmcows \
  --repo-type dataset \
  --include "1s_interval_images_3hr/*" \
  --local-dir ./