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Dataset Image Augmentation Generator is a desktop application that creates multiple variations of images to expand machine learning datasets. Users select a folder of images, choose from 30 augmentation techniques, and the tool generates new images with one click, then packages them into a downloadable ZIP file.
Key Feature: 30 Augmentation Techniques
1. Geometric Transformations: Rotation (-3° to +3°), Horizontal/Vertical Flip, Random Shear, Zoom, Translation, Perspective Transform
2. Noise & Blur: Gaussian Noise, Salt & Pepper Noise, Motion Blur, Gaussian Blur
3. Color Adjustments: Brightness, Contrast, Color Jitter, Gamma Correction, Channel Shuffle, Posterize
4. Advanced Techniques: Elastic Deformation, Cutout, CLAHE, Edge Enhancement, Histogram Equalization, Fourier Noise
5. Deep Learning Methods: Mixup, CutMix, Random Occlusion
Target Audience
1. Machine Learning Engineers
2. Data Scientists
3. Computer Vision Researchers
4. Students learning ML/CV
5. Anyone
Project Samples
