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metadata
dataset_info:
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configs:
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    data_files:
      - split: train
        path: 0_all/train-*
      - split: test
        path: 0_all/test-*
  - config_name: 1_top
    data_files:
      - split: daylight
        path: 1_top/daylight-*
      - split: indoorlight
        path: 1_top/indoorlight-*
      - split: infrared
        path: 1_top/infrared-*
      - split: train
        path: 1_top/train-*
      - split: test
        path: 1_top/test-*
  - config_name: 2_side
    data_files:
      - split: daylight
        path: 2_side/daylight-*
      - split: indoorlight
        path: 2_side/indoorlight-*
      - split: infrared
        path: 2_side/infrared-*
      - split: train
        path: 2_side/train-*
      - split: test
        path: 2_side/test-*
  - config_name: 3_external
    data_files:
      - split: train
        path: 3_external/train-*
      - split: test
        path: 3_external/test-*
  - config_name: a1_t2s
    data_files:
      - split: train
        path: a1_t2s/train-*
      - split: test
        path: a1_t2s/test-*
  - config_name: a2_s2t
    data_files:
      - split: train
        path: a2_s2t/train-*
      - split: test
        path: a2_s2t/test-*
  - config_name: b_light
    data_files:
      - split: train
        path: b_light/train-*
      - split: test
        path: b_light/test-*
  - config_name: c_external
    data_files:
      - split: train
        path: c_external/train-*
      - split: test
        path: c_external/test-*
license: mit
task_categories:
  - object-detection
tags:
  - biology
pretty_name: COLO
size_categories:
  - 1K<n<10K

COw LOcalization (COLO) Dataset

COLO

Download the Dataset

To download the dataset, you need to have the required Python dependencies installed. You can install them using either of the following commands:

python -m pip install pyniche

or

pip install pyniche

Once the dependencies are installed, use the Python console to provide the download destination folder in the root parameter and specify the export data format in the format parameter:

from pyniche.data.download import COLO

# Example: Download COLO in the YOLO format
COLO(
    root="download/yolo",  # Destination folder
    format="yolo",  # Data format
)

# Example: Download COLO in the COCO format
COLO(
    root="download/coco",  # Destination folder
    format="coco",  # Data format
)