metadata

license: cc-by-nc-sa-4.0
viewer: false
annotations_creators:
  - expert-generated
language: []
language_creators:
  - expert-generated
multilinguality: []
pretty_name: mmcows
size_categories:
  - n>1T
source_datasets:
  - original
tags:
  - cattle
  - cows
  - animals
  - multimodal
  - visual localization
  - sensor fusion
  - UWB localization
  - precision livestock farming
task_categories:
  - image-classification
  - object-detection
task_ids:
  - multi-class-image-classification

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 ./