Dataset Versions

v3

2022-12-30 11:32pm

Generated on Dec 30, 2022

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 90%
1275Images
Valid Set 8%
117Images
Test Set 2%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 18% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±19° Horizontal, ±30° Vertical
Grayscale: Apply to 40% of images
Hue: Between -29° and +29°
Saturation: Between -63% and +63%
Brightness: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 5% of pixels

Similar Projects

See More
2.5k images
2.3k images 1 model