--- dataset_info: features: - name: image_uri dtype: string - name: image_label dtype: string - name: image_issues list: - name: confidence dtype: float64 - name: description dtype: string - name: duplicate_group_id dtype: string - name: issue_type dtype: string splits: - name: train num_bytes: 10229219 num_examples: 70000 download_size: 3522525 dataset_size: 10229219 configs: - config_name: default data_files: - split: train path: data/train-* ---
# Fashion-Mnist-VL-Enriched An enriched version of the Fashion-Mnist Dataset with image captions, bounding boxes, and label issues! With this additional information, the Fashion-Mnist dataset can be extended to various tasks such as image retrieval or visual question answering. The label issues help curate a cleaner and leaner dataset. ## Description The dataset consists of 3 columns: - `image_uri`: The uri of original of the image from the Fashion-Mnist dataset. - `label`: Label for the image, provided by the authors of the Fashion-Mnist dataset. - `image_issues`: Quality issues found using Visual Layer enrichment process, such as duplicate, mislabeled, dark, blurry, bright, and outlier images. ## Usage This dataset can be used with the Hugging Face Datasets library: ```python import datasets ds = datasets.load_dataset("visual-layer/fashion-mnist-vl-enriched") ``` ## Interactive Visualization Visual Layer provides a platform to interactively visualize a dataset and highlight quality issues such as duplicates, mislabels, outliers, etc. Check it out [here](https://app.visual-layer.com/dataset/3972b3fc-1809-11ef-bb76-064432e0d220/data?p=1&page=1&utm_source=hugging_face). No sign-up required. ## License & Disclaimer We provide no warranty on the dataset, and the user takes full responsibility for the usage of the dataset. By using the dataset, you agree to the terms of the Fashion-Mnist dataset license. ## About Visual Layer