Dataset Versions

v16

2022-11-23 6:22pm

Generated on Nov 23, 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 84%
3339Images
Valid Set 13%
499Images
Test Set 4%
151Images

Preprocessing

Resize: Stretch to 640x640
Modify Classes: 16 remapped, 3 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±23° Horizontal, ±7° Vertical
Brightness: Between -30% and +30%
Blur: Up to 1px
Noise: Up to 1% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down