Datasets:
Tasks:
Object Detection
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
License:
| license: mit | |
| task_categories: | |
| - object-detection | |
| language: | |
| - en | |
| tags: | |
| - computer-vision | |
| - cleanlab | |
| - data-centric-ai | |
| pretty_name: Object Detection Tutorial Dataset | |
| size_categories: | |
| - n<1K | |
| # Object Detection Tutorial Dataset | |
| Dataset used in cleanlab's [Object Detection tutorial](https://docs.cleanlab.ai/stable/tutorials/object_detection.html). | |
| ## Dataset Contents | |
| - **labels.pkl**: Ground truth bounding box labels | |
| - **predictions.pkl**: Model predictions for bounding boxes | |
| - **example_images.zip**: Sample images for object detection | |
| ## Usage | |
| ```python | |
| from huggingface_hub import hf_hub_download | |
| import pickle | |
| import zipfile | |
| # Download labels | |
| labels_path = hf_hub_download('Cleanlab/object-detection-tutorial', 'labels.pkl') | |
| with open(labels_path, 'rb') as f: | |
| labels = pickle.load(f) | |
| # Download predictions | |
| predictions_path = hf_hub_download('Cleanlab/object-detection-tutorial', 'predictions.pkl') | |
| with open(predictions_path, 'rb') as f: | |
| predictions = pickle.load(f) | |
| # Download images | |
| images_path = hf_hub_download('Cleanlab/object-detection-tutorial', 'example_images.zip') | |
| with zipfile.ZipFile(images_path, 'r') as zip_ref: | |
| zip_ref.extractall('example_images/') | |
| ``` | |
| ## Citation | |
| ```bibtex | |
| @software{cleanlab, | |
| author = {Northcutt, Curtis G. and Athalye, Anish and Mueller, Jonas}, | |
| title = {cleanlab}, | |
| year = {2021}, | |
| url = {https://github.com/cleanlab/cleanlab}, | |
| } | |
| ``` | |
| ## Contact | |
| - Repository: https://github.com/cleanlab/cleanlab | |
| - Documentation: https://docs.cleanlab.ai | |