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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.
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