Dataset Versions

v1

2023-07-12 2:18am

Generated on Jul 11, 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%
3579Images
Valid Set 8%
341Images
Test Set 4%
166Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±17° Horizontal, ±15° Vertical
Saturation: Between -74% and +74%
Brightness: Between -32% and +32%
Exposure: Between -15% and +15%
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Exposure: Between -52% and +52%
Bounding Box: Noise: Up to 3% of pixels

Similar Projects

See More
877 images 2 models