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license: apache-2.0
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## Distorted-5K Dataset
### Overview

The ​Distorted-5K dataset comprises ​5,000 synthetic images generated by text-to-image (T2I) models, as introduced in the paper "Evaluating and Predicting Distorted Human Body Parts for Generated Images". 

Each entry includes:
* ​**{i}.png**: A ​high-resolution synthetic human-related image that may exhibit common distortions. 
* ​**{i}_label.json**: ​Detailed annotations labeling distorted regions, including type, position, and multi-annotator consensus.

### ​Potential Use Cases
* Benchmarking T2I models.

* Training/fine-tuning detectors to identify human distortions in AI-generated images.

* Fine-tuning T2I models to generate distortion-free human images.