Datasets:

Niche-Squad
/

COLO

	---
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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:
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	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
	)
	```