Dataset Versions

v12

PROC2 YTP

Generated on Mar 14, 2022

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 94%
1632Images
Valid Set 3%
58Images
Test Set 3%
52Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 75% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±23° Horizontal, ±23° Vertical
Hue: Between -6° and +6°
Saturation: Between -59% and +59%
Brightness: Between -35% and +35%
Exposure: Between -8% and +8%
Blur: Up to 1.25px
Noise: Up to 4% of pixels
Cutout: 25 boxes with 7% size each
Mosaic: Applied

Similar Projects

See More