Dataset Versions

v1

2024-07-11 5:44pm

Generated on Jul 11, 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 97%
6867Images
Valid Set 2%
176Images
Test Set 1%
50Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Saturation: Between -28% and +28%
Brightness: Between -30% and +30%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.84% of pixels
Cutout: 3 boxes with 10% size each