Dataset Versions

v2

2023-11-22 2:10pm

Generated on Nov 22, 2023

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 82%
3968Images
Valid Set 12%
562Images
Test Set 6%
282Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±18° Horizontal, ±25° Vertical
Grayscale: Apply to 30% of images
Saturation: Between -25% and +25%
Brightness: Between -38% and +38%
Blur: Up to 2.5px
Noise: Up to 6% of pixels