...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. ...