Dataset Versions

v3

2022-05-18 3:09pm

Generated on May 18, 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%
1833Images
Valid Set 8%
160Images
Test Set 2%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 30% of images
Hue: Between -40° and +40°
Brightness: Between -20% and +20%
Blur: Up to 2px
Noise: Up to 10% of pixels

Similar Projects

See More
574 images 2 models