Dataset Versions

v12

2024-07-07 8:27pm

Generated on Jul 7, 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 83%
1266Images
Valid Set 9%
140Images
Test Set 7%
112Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Grayscale: Applied
Modify Classes: 0 remapped, 3 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 5% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -20% and +20%
Blur: Up to 2.4px
Noise: Up to 2.04% of pixels
Bounding Box: Flip: Horizontal