Dataset Versions

v2

2023-12-19 8:05pm

Generated on Dec 19, 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 91%
438Images
Valid Set 6%
29Images
Test Set 3%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Noise: Up to 3% of pixels
Bounding Box: Rotation: Between -12° and +12°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical