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--- |
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dataset_info: |
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features: |
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- name: image_uri |
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dtype: string |
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- name: image_label |
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dtype: string |
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- name: image_issues |
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list: |
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- name: confidence |
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dtype: float64 |
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- name: description |
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dtype: string |
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- name: duplicate_group_id |
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dtype: string |
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- name: issue_type |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 10229219 |
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num_examples: 70000 |
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download_size: 3522525 |
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dataset_size: 10229219 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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<div style="text-align: center;"> |
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<a href="https://app.visual-layer.com/dataset/7e9674b6-648d-11ef-bb7d-4282573bcafb/data?p=1&page=1&utm_source=hugging_face" style="display: inline-block; padding: 10px 20px; background-color: rgba(128, 0, 128, 0.5); color: white; text-decoration: none; border-radius: 5px; font-family: Arial, sans-serif; font-size: 16px;"> |
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Visualize on Visual Layer |
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</a> |
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</div> |
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<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/66c73598ac384b32b9c7725a/IBigCgdrtfzIY9gDzCDK7.qt"></video> |
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# Fashion-Mnist-VL-Enriched |
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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. |
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The label issues help curate a cleaner and leaner dataset. |
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## Description |
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The dataset consists of 3 columns: |
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- `image_uri`: The uri of original of the image from the Fashion-Mnist dataset. |
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- `label`: Label for the image, provided by the authors of the Fashion-Mnist dataset. |
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- `image_issues`: Quality issues found using Visual Layer enrichment process, such as duplicate, mislabeled, dark, blurry, bright, and outlier images. |
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## Usage |
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This dataset can be used with the Hugging Face Datasets library: |
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```python |
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import datasets |
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ds = datasets.load_dataset("visual-layer/fashion-mnist-vl-enriched") |
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``` |
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## Interactive Visualization |
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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. |
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<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/66c73598ac384b32b9c7725a/IBigCgdrtfzIY9gDzCDK7.qt"></video> |
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<div style="text-align: center;"> |
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<a href="https://app.visual-layer.com/dataset/7e9674b6-648d-11ef-bb7d-4282573bcafb/data?p=1&page=1&utm_source=hugging_face" style="display: inline-block; padding: 10px 20px; background-color: rgba(128, 0, 128, 0.5); color: white; text-decoration: none; border-radius: 5px; font-family: Arial, sans-serif; font-size: 16px;"> |
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Visualize on Visual Layer |
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</a> |
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</div> |
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## License & Disclaimer |
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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. |
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## About Visual Layer |
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<div style="text-align: center; margin-top:50px;"> |
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<a href="https://visual-layer.com/" style="padding:10px; display: inline-block;"> |
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<img alt="site" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/web.png" width="50"></a> |
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<a href="https://medium.com/visual-layer" style="padding:10px; display: inline-block;"> |
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<img alt="blog" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/forum.png" width="50"></a> |
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<a href="https://github.com/visual-layer/fastdup" style="padding:10px; display: inline-block;"> |
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<img alt="github" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/github.png" width="50"></a> |
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<a href="https://discord.com/invite/Dqw458EG/" style="padding:10px; display: inline-block;"> |
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<img alt="slack" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/discord.png" width="50"></a> |
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<a href="https://www.linkedin.com/company/visual-layer/" style="padding:10px; display: inline-block;"> |
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<img alt="linkedin" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/linkedin.png" width="50"></a> |
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<a href="https://www.youtube.com/@visual-layer" style="padding:10px; display: inline-block;"> |
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<img alt="youtube" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/youtube.png" width="50"></a> |
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<a href="https://twitter.com/visual_layer" style="padding:10px; display: inline-block;"> |
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<img alt="twitter" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/x.png" width="50"></a> |
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</div> |
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<div style="text-align: center;"> |
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<img style="width:200px; display: block; margin: 0 auto;" alt="logo" src="https://d2iycffepdu1yp.cloudfront.net/design-assets/VL_horizontal_logo.png"> |
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<div style="margin-top:20px;">Copyright © 2024 Visual Layer. All rights reserved.</div> |
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</div> |
