Dataset Versions

v3

2024-03-14 1:06pm

Generated on Mar 14, 2024

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 83%
15345Images
Valid Set 17%
3034Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 21% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -14° and +14°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -22° and +22°
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Exposure: Between -11% and +11%