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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: 9787660 |
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num_examples: 70000 |
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download_size: 3571333 |
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dataset_size: 9787660 |
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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/efbbf2ae-6507-11ef-a4e6-aa6d4667de12/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/OZzZ2QpJe1ZM6srWnB1Yj.qt"></video> |
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# Mnist-VL-Enriched |
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An enriched version of the Mnist Dataset with image captions, bounding boxes, and label issues! With this additional information, the 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 Mnist dataset. |
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- `label`: Label for the image, provided by the authors of the 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/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/OZzZ2QpJe1ZM6srWnB1Yj.qt"></video> |
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<div style="text-align: center;"> |
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<a href="https://app.visual-layer.com/dataset/efbbf2ae-6507-11ef-a4e6-aa6d4667de12/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 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> |
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