Dataset Versions

v4

2022-08-31 11:48am

Generated on Aug 31, 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 96%
1899Images
Valid Set 1%
20Images
Test Set 3%
64Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±9° Horizontal, ±26° Vertical
Hue: Between -46° and +46°
Saturation: Between -25% and +25%
Bounding Box: Flip: Horizontal, Vertical