Dataset Versions

v5

2023-10-09 2:44pm

Generated on Oct 9, 2023

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%
2763Images
Valid Set 8%
241Images
Test Set 4%
124Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -26° and +26°
Saturation: Between -22% and +22%
Brightness: Between -24% and +24%
Exposure: Between -9% and +9%
Blur: Up to 1px
Noise: Up to 2% of pixels