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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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