Datasets:
Update README.md
Browse files
README.md
CHANGED
@@ -129,4 +129,69 @@ configs:
|
|
129 |
path: data/test-*
|
130 |
task_categories:
|
131 |
- object-detection
|
132 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
129 |
path: data/test-*
|
130 |
task_categories:
|
131 |
- object-detection
|
132 |
+
---
|
133 |
+
|
134 |
+
[![Visualize Dataset on Visual Layer](https://img.shields.io/badge/Visualize%20on-%20Visual%20Layer-purple?style=for-the-badge&logo=numpy)](https://app.visual-layer.com/dataset/acd886ce-2b9f-11ef-bb10-e605d78f584b/data?p=1&page=1)
|
135 |
+
|
136 |
+
<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6195f404c07573b03c61702c/VpyzNf8Yv_KsGs0v6yyc0.mp4"></video>
|
137 |
+
|
138 |
+
|
139 |
+
# COCO-2014-VL-Enriched
|
140 |
+
|
141 |
+
An enriched version of the COCO 2014 dataset with label issues! The label issues helps to curate a cleaner and leaner dataset.
|
142 |
+
|
143 |
+
## Description
|
144 |
+
The dataset consists of 6 columns:
|
145 |
+
|
146 |
+
+ `image_id`: The original image filename from the COCO dataset.
|
147 |
+
+ `image`: Image data in the form of PIL Image.
|
148 |
+
+ `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.
|
149 |
+
+ `issues`: Quality issues found such as duplicate, mislabeled, dark, blurry, bright, and outlier images.
|
150 |
+
## Usage
|
151 |
+
This dataset can be used with the Hugging Face Datasets library.:
|
152 |
+
```python
|
153 |
+
import datasets
|
154 |
+
ds = datasets.load_dataset("visual-layer/coco-2014-vl-enriched")
|
155 |
+
```
|
156 |
+
|
157 |
+
More in this [notebook](usage.ipynb).
|
158 |
+
|
159 |
+
## Interactive Visualization
|
160 |
+
Visual Layer provides a platform to interactively visualize a dataset and highlight quality issues such as duplicates, mislabels, outliers, etc.
|
161 |
+
Check it out [here](https://app.visual-layer.com/dataset/acd886ce-2b9f-11ef-bb10-e605d78f584b/data?p=1&page=1). No sign-up required.
|
162 |
+
|
163 |
+
<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6195f404c07573b03c61702c/VpyzNf8Yv_KsGs0v6yyc0.mp4"></video>
|
164 |
+
|
165 |
+
<div style="text-align: center;">
|
166 |
+
<a href="https://app.visual-layer.com/dataset/acd886ce-2b9f-11ef-bb10-e605d78f584b/data?p=1&page=1">
|
167 |
+
<img src="https://img.shields.io/badge/Visualize%20on-%20Visual%20Layer-purple?style=for-the-badge&logo=numpy" alt="Visualize Dataset on Visual Layer">
|
168 |
+
</a>
|
169 |
+
</div>
|
170 |
+
|
171 |
+
|
172 |
+
## License & Disclaimer
|
173 |
+
|
174 |
+
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 ImageNet-1K dataset license.
|
175 |
+
|
176 |
+
## About Visual Layer
|
177 |
+
|
178 |
+
<div style="text-align: center; margin-top:50px;">
|
179 |
+
<a href="https://visual-layer.com/" style="padding:10px; display: inline-block;">
|
180 |
+
<img alt="site" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/web.png" width="50"></a>
|
181 |
+
<a href="https://medium.com/visual-layer" style="padding:10px; display: inline-block;">
|
182 |
+
<img alt="blog" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/forum.png" width="50"></a>
|
183 |
+
<a href="https://github.com/visual-layer/fastdup" style="padding:10px; display: inline-block;">
|
184 |
+
<img alt="github" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/github.png" width="50"></a>
|
185 |
+
<a href="https://discord.com/invite/Dqw458EG/" style="padding:10px; display: inline-block;">
|
186 |
+
<img alt="slack" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/discord.png" width="50"></a>
|
187 |
+
<a href="https://www.linkedin.com/company/visual-layer/" style="padding:10px; display: inline-block;">
|
188 |
+
<img alt="linkedin" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/linkedin.png" width="50"></a>
|
189 |
+
<a href="https://www.youtube.com/@visual-layer" style="padding:10px; display: inline-block;">
|
190 |
+
<img alt="youtube" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/youtube.png" width="50"></a>
|
191 |
+
<a href="https://twitter.com/visual_layer" style="padding:10px; display: inline-block;">
|
192 |
+
<img alt="twitter" src="https://vl-blog.s3.us-east-2.amazonaws.com/imgs/x.png" width="50"></a>
|
193 |
+
</div>
|
194 |
+
<div style="text-align: center;">
|
195 |
+
<img style="width:200px; display: block; margin: 0 auto;" alt="logo" src="https://d2iycffepdu1yp.cloudfront.net/design-assets/VL_horizontal_logo.png">
|
196 |
+
<div style="margin-top:20px;">Copyright © 2024 Visual Layer. All rights reserved.</div>
|
197 |
+
</div>
|