Individual Project

Normal vs Abnormal

Object Detection

Normal vs Abnormal Image Dataset

v30

Augmentation_ALL

Generated on Apr 27, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

Dataset Split

Train Set 79%
288Images
Valid Set 15%
56Images
Test Set 5%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Saturation: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 0.2px
Noise: Up to 0.1% of pixels
Mosaic: Applied