Dataset Versions

v2

2024-05-16 9:38am

Generated on May 16, 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 88%
489Images
Valid Set 8%
46Images
Test Set 4%
23Images

Preprocessing

Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -80% and +80%
Brightness: Between -44% and +44%
Exposure: Between -5% and +5%
Blur: Up to 0.9px

Similar Projects

See More
192 images 1 model