Dataset Versions

v1

2022-06-17 3:24pm

Generated on Jun 17, 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 82%
12074Images
Valid Set 12%
1726Images
Test Set 6%
863Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -15° and +15°
Exposure: Between -25% and +25%
Blur: Up to 2px
Cutout: 3 boxes with 10% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 5% of pixels