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Update augmentation script to scale Teacher dataset to 900 images
Verified signatureScaled the base dataset target from 100 to 300 images per class (Blast, Brown Spot, Sheath Blight) to resolve underfitting and poor accuracy (35%) in the initial Teacher model. Retained geometric transformations (horizontal/vertical flips) with precise YOLO polygon coordinate inversions. Retained photometric transformations (Gaussian noise and brightness scaling) to improve model robustness against varied environmental drone lighting.96b923d -
Add script to balance and augment paddy dataset to 400 images
Verified signatureThis script resolves class imbalance by dynamically augmenting the dataset until it reaches exactly 100 images per class (Blast, Brown Spot, Sheath Blight, Healthy). Uses OpenCV to apply random transformations (h_flip, v_flip, brightness, noise). Automatically calculates and shifts YOLO segmentation polygon coordinates to match the newly generated images.b730b20
