Dataset Versions

v7

newfp1

Generated on Jun 16, 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 87%
135Images
Valid Set 8%
13Images
Test Set 5%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Noise: Up to 2% of pixels

Similar Projects

See More
384 images 2 models