Datasets:
| license: mit | |
| task_categories: | |
| - object-detection | |
| language: | |
| - en | |
| # Object Detection Dataset | |
| ## Dataset Description | |
| This dataset contains images and labels for object detection with 9 classes: | |
| - cat | |
| - dog | |
| - cup | |
| - vase | |
| - potted plant | |
| - laptop | |
| - keyboard | |
| - remote | |
| - book | |
| ## Dataset Structure | |
| ``` | |
| dataset/ | |
| images/ | |
| train/ | |
| val/ | |
| test/ | |
| labels/ | |
| train/ | |
| val/ | |
| test/ | |
| dataset.yaml | |
| ``` | |
| ## Classes | |
| - 0: cat | |
| - 1: dog | |
| - 2: cup | |
| - 3: vase | |
| - 4: potted plant | |
| - 5: laptop | |
| - 6: keyboard | |
| - 7: remote | |
| - 8: book | |
| ## Usage | |
| This dataset follows YOLO format for object detection tasks. | |
| ## Statistics | |
| - Training samples: 2070 | |
| - Validation samples: 207 | |
| - Test samples: 207 | |