/Generative-Art

Epita Summer Program 2023 Project 1

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Generative-Art

Applying Object-detection from the Images Generated by Stable-Diffusion

Epitech Summer Program 2023 Project 1

Outline

  1. Introduction
  2. Background (Stable Diffusion, YOLO)
  3. Data Collection and Preprocessing
  4. Modeling
  5. Performance results
  6. Discussion & Conclusion

Introduction

  • These days, a substantial volume of data with high quality is required for improving the performance of image-related models. Through Stable�Diffusion models, we can generate images from text which are valuable.
  • In this research, we’ll apply generated images to YOLOv5 model for Object-detection in order to check how useful these generated images are
  • notice : File sd/stable-diffusion-webui/models/Lora/. models were deleted because of storage problem. (replaced to txt file). Also, the reference of models are all from https://civitai.com/
  • Soyeon Kim, Yejin Kim, Yoojin Oh (Ewha Womans University, Dept of AI)
  • contact : mydianaoh@ewhain.net