Study
Computer Vision · Data augmentation
Label-preserving random transforms (flips, crops, rotation, colour jitter) with torchvision.transforms.v2, applied consistently to images and boxes.
- Augmentation creates new training views of the same image so the model learns invariances instead of memorising pixels.
- Every augmentation must keep the label true; a flipped "6" might become a "9".