---
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configs:
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  data_files:
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    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-*
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    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](figure_1.jpg)

## 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:

```sh
python -m pip install pyniche
```
or 

```sh
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:

```python
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
)
```