--- dataset_info: - config_name: 0_all features: - name: image dtype: image - name: width dtype: int64 - name: height dtype: int64 - name: n_cows dtype: int64 - name: annotations sequence: - name: id dtype: int64 - name: image_id dtype: int64 - name: category_id dtype: int64 - name: iscrowd dtype: int64 - name: area dtype: float64 - name: bbox sequence: float64 length: 4 - name: segmentation sequence: sequence: int64 - name: image_id dtype: int64 - name: filename dtype: string splits: - name: train num_bytes: 130320762 num_examples: 904 - name: test num_bytes: 13928675 num_examples: 100 download_size: 143829012 dataset_size: 144249437 - config_name: 1_top features: - name: image dtype: image - name: width dtype: int64 - name: height dtype: int64 - name: n_cows dtype: int64 - name: annotations sequence: - name: id dtype: int64 - name: image_id dtype: int64 - name: category_id dtype: int64 - name: iscrowd dtype: int64 - name: area dtype: float64 - name: bbox sequence: float64 length: 4 - name: segmentation sequence: sequence: int64 - name: image_id dtype: int64 - name: filename dtype: string splits: - name: daylight num_bytes: 53998347 num_examples: 296 - name: indoorlight num_bytes: 23086697 num_examples: 118 - name: infrared num_bytes: 11752283 num_examples: 90 - name: train num_bytes: 80432409 num_examples: 454 - name: test num_bytes: 8404918 num_examples: 50 download_size: 177400440 dataset_size: 177674654 - config_name: 2_side features: - name: image dtype: image - name: width dtype: int64 - name: height dtype: int64 - name: n_cows dtype: int64 - name: annotations sequence: - name: id dtype: int64 - name: image_id dtype: int64 - name: category_id dtype: int64 - name: iscrowd dtype: int64 - name: area dtype: float64 - name: bbox sequence: float64 length: 4 - name: segmentation sequence: sequence: int64 - name: image_id dtype: int64 - name: filename dtype: string splits: - name: daylight num_bytes: 36621130 num_examples: 290 - name: indoorlight num_bytes: 14910133 num_examples: 113 - name: infrared num_bytes: 3880850 num_examples: 97 - name: train num_bytes: 49888354 num_examples: 450 - name: test num_bytes: 5523758 num_examples: 50 download_size: 110254324 dataset_size: 110824225 - config_name: 3_external features: - name: image dtype: image - name: width dtype: int64 - name: height dtype: int64 - name: n_cows dtype: int64 - name: annotations sequence: - name: id dtype: int64 - name: image_id dtype: int64 - name: category_id dtype: int64 - name: iscrowd dtype: int64 - name: area dtype: float64 - name: bbox sequence: float64 length: 4 - name: segmentation sequence: sequence: int64 - name: image_id dtype: int64 - name: filename dtype: string splits: - name: train num_bytes: 30382759 num_examples: 200 - name: test num_bytes: 7430774 num_examples: 50 download_size: 37623678 dataset_size: 37813533 - config_name: a1_t2s features: - name: image dtype: image - name: width dtype: int64 - name: height dtype: int64 - name: n_cows dtype: int64 - name: annotations sequence: - name: id dtype: int64 - name: image_id dtype: int64 - name: category_id dtype: int64 - name: iscrowd dtype: int64 - name: area dtype: float64 - name: bbox sequence: float64 length: 4 - name: segmentation sequence: sequence: int64 - name: image_id dtype: int64 - name: filename dtype: string splits: - name: train num_bytes: 88837326 num_examples: 504 - name: test num_bytes: 5523758 num_examples: 50 download_size: 94192043 dataset_size: 94361084 - config_name: a2_s2t features: - name: image dtype: image - name: width dtype: int64 - name: height dtype: int64 - name: n_cows dtype: int64 - name: annotations sequence: - name: id dtype: int64 - name: image_id dtype: int64 - name: category_id dtype: int64 - name: iscrowd dtype: int64 - name: area dtype: float64 - name: bbox sequence: float64 length: 4 - name: segmentation sequence: sequence: int64 - name: image_id dtype: int64 - name: filename dtype: string splits: - name: train num_bytes: 55412111 num_examples: 500 - name: test num_bytes: 8404918 num_examples: 50 download_size: 63528042 dataset_size: 63817029 - config_name: b_light features: - name: image dtype: image - name: width dtype: int64 - name: height dtype: int64 - name: n_cows dtype: int64 - name: annotations sequence: - name: id dtype: int64 - name: image_id dtype: int64 - name: category_id dtype: int64 - name: iscrowd dtype: int64 - name: area dtype: float64 - name: bbox sequence: float64 length: 4 - name: segmentation sequence: sequence: int64 - name: image_id dtype: int64 - name: filename dtype: string splits: - name: train num_bytes: 76120383 num_examples: 500 - name: test num_bytes: 6280763 num_examples: 50 download_size: 82127375 dataset_size: 82401146 - config_name: c_external features: - name: image dtype: image - name: width dtype: int64 - name: height dtype: int64 - name: n_cows dtype: int64 - name: annotations sequence: - name: id dtype: int64 - name: image_id dtype: int64 - name: category_id dtype: int64 - name: iscrowd dtype: int64 - name: area dtype: float64 - name: bbox sequence: float64 length: 4 - name: segmentation sequence: sequence: int64 - name: image_id dtype: int64 - name: filename dtype: string splits: - name: train num_bytes: 144104201.292 num_examples: 1004 - name: test num_bytes: 7430774 num_examples: 50 download_size: 151218220 dataset_size: 151534975.292 configs: - config_name: 0_all 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 table { width: 50%; margin-left: auto; margin-right: auto; } | **Configuration** | **Training Split** | **Testing Split** | |:------------------|:-------------------|:---------------------| | _0_all_ | Top-View + Side-View | Top-View + Side-View| | _1_top_ | Top-View | Top-View | | _2_side_ | Side-View | Side-View | | _3_external_ | External | External | | _a1_t2s_ | Top-View | Side-View | | _a2_s2t_ | Side-View | Top-View | | _b_light_ | Daylight | Indoor + NIR | | _c_external_ | Top-View + Side-View | External | ## 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 ) ``` ## Citation [The page of the arXiv article](https://arxiv.org/abs/2407.20372) ```bibtex @misc{das2024model, title={A Model Generalization Study in Localizing Indoor Cows with COw LOcalization (COLO) dataset}, author={Mautushi Das and Gonzalo Ferreira and C. P. James Chen}, year={2024}, eprint={2407.20372}, archivePrefix={arXiv}, primaryClass={cs.CV} } ``` or Das, M., Ferreira, G., & Chen, C. P. J. (2024). A Model Generalization Study in Localizing Indoor Cows with COw LOcalization (COLO) dataset. arXiv preprint arXiv:2407.20372 ---