Dataset Versions

v1

2024-04-15 4:42pm

Generated on Apr 15, 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 88%
20388Images
Valid Set 7%
1535Images
Test Set 5%
1145Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -22° and +22°
Saturation: Between -34% and +34%
Brightness: Between -30% and +30%