Dataset Versions

v1

2024-03-12 11:42am

Generated on Mar 12, 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 91%
30690Images
Valid Set 9%
3034Images
Test Set %
0Images

Preprocessing

Filter Null: Require at least 21% of images to contain annotations.

Augmentations

Outputs per training example: 6
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -14° and +14°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -22° and +22°
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Exposure: Between -11% and +11%
Blur: Up to 3.3px