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--- |
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task_categories: |
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- object-detection |
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dataset_info: |
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features: |
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- name: image_id |
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dtype: string |
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- name: image |
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dtype: image |
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- name: label_bbox |
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list: |
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- name: bbox |
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sequence: int64 |
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- name: bbox_id |
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dtype: string |
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- name: label |
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dtype: string |
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- name: 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: issue_type |
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dtype: string |
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splits: |
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- name: train |
|
num_bytes: 13436697177.0 |
|
num_examples: 82081 |
|
- name: validation |
|
num_bytes: 6606403140.0 |
|
num_examples: 40137 |
|
- name: test |
|
num_bytes: 6653024122.0 |
|
num_examples: 40775 |
|
download_size: 26617129269 |
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dataset_size: 26696124439.0 |
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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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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
|
--- |
|
|
|
|
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<div style="text-align: center;"> |
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<a href="https://app.visual-layer.com/dataset/acd886ce-2b9f-11ef-bb10-e605d78f584b/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> |
|
|
|
<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6195f404c07573b03c61702c/jQPvVpNJBB6M_9Mcun5eb.mp4"></video> |
|
|
|
# COCO-2014-VL-Enriched |
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|
|
An enriched version of the COCO 2014 dataset with label issues! The label issues help to curate a cleaner and leaner dataset. |
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|
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## Description |
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The dataset consists of 6 columns: |
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|
|
+ `image_id`: The original image filename from the COCO dataset. |
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+ `image`: Image data in the form of PIL Image. |
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+ `label_bbox`: Bounding box annotations from the COCO dataset. Consists of bounding box coordinates, confidence scores, and labels for the bounding box generated using object detection models. |
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+ `issues`: Quality issues found 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/coco-2014-vl-enriched") |
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``` |
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|
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More in this [notebook](usage.ipynb). |
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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. |
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Check it out [here](https://app.visual-layer.com/dataset/acd886ce-2b9f-11ef-bb10-e605d78f584b/data?p=1&page=1&utm_source=hugging_face). No sign-up required. |
|
|
|
<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6195f404c07573b03c61702c/jQPvVpNJBB6M_9Mcun5eb.mp4"></video> |
|
|
|
<div style="text-align: center;"> |
|
<a href="https://app.visual-layer.com/dataset/acd886ce-2b9f-11ef-bb10-e605d78f584b/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;"> |
|
Visualize on Visual Layer |
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</a> |
|
</div> |
|
|
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## 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 COCO dataset license. |
|
|
|
## About Visual Layer |
|
|
|
<div style="text-align: center; margin-top:50px;"> |
|
<a href="https://visual-layer.com/" style="padding:10px; display: inline-block;"> |
|
<img alt="site" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/web.png" width="50"></a> |
|
<a href="https://medium.com/visual-layer" style="padding:10px; display: inline-block;"> |
|
<img alt="blog" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/forum.png" width="50"></a> |
|
<a href="https://github.com/visual-layer/fastdup" style="padding:10px; display: inline-block;"> |
|
<img alt="github" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/github.png" width="50"></a> |
|
<a href="https://discord.com/invite/Dqw458EG/" style="padding:10px; display: inline-block;"> |
|
<img alt="slack" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/discord.png" width="50"></a> |
|
<a href="https://www.linkedin.com/company/visual-layer/" style="padding:10px; display: inline-block;"> |
|
<img alt="linkedin" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/linkedin.png" width="50"></a> |
|
<a href="https://www.youtube.com/@visual-layer" style="padding:10px; display: inline-block;"> |
|
<img alt="youtube" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/youtube.png" width="50"></a> |
|
<a href="https://twitter.com/visual_layer" style="padding:10px; display: inline-block;"> |
|
<img alt="twitter" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/x.png" width="50"></a> |
|
</div> |
|
<div style="text-align: center;"> |
|
<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> |
|
</div> |
