This article introduces a method for automatically generating object detection datasets using Stable Diffusion image restoration. Initially, image segmentation is employed to create masks, followed by fine-tuning the image restoration model. Finally, combining the masks with input prompt text, custom scene data is generated. This approach is computationally intensive and requires high-end hardware, making it suitable for special scenarios where image capture is difficult. For ordinary scenes, traditional manual annotation is more advisable.
Using Stable Diffusion Image Inpainting to Generate Your Own Object Detection Dataset

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