Dataset Versions

v1

roi_2

Generated on Nov 19, 2021

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 88%
1134Images
Valid Set 8%
108Images
Test Set 4%
54Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -8° and +8°
Saturation: Between -16% and +16%
Brightness: Between -4% and +4%
Blur: Up to 0.5px
Noise: Up to 1% of pixels