|
--- |
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configs: |
|
- config_name: 0_all |
|
data_files: |
|
- split: train |
|
path: 0_all/train-* |
|
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|
path: 0_all/test-* |
|
- config_name: 1_top |
|
data_files: |
|
- split: daylight |
|
path: 1_top/daylight-* |
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|
path: 1_top/indoorlight-* |
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- split: infrared |
|
path: 1_top/infrared-* |
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|
path: 1_top/train-* |
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|
path: 1_top/test-* |
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data_files: |
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|
path: 2_side/daylight-* |
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|
path: 2_side/indoorlight-* |
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path: 2_side/infrared-* |
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path: 2_side/train-* |
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|
path: 2_side/test-* |
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data_files: |
|
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|
path: 3_external/train-* |
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|
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-* |
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- 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 |
|
|
|
## 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 |
|
) |
|
``` |