Dataset Versions

v11

Data_Aug_Ver4

Generated on Nov 20, 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 82%
924Images
Valid Set 15%
166Images
Test Set 3%
38Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 32% Maximum Zoom
Shear: ±15° Horizontal, ±12° Vertical
Hue: Between -55° and +55°
Saturation: Between -40% and +40%
Brightness: Between 0% and +44%
Exposure: Between -23% and +23%
Blur: Up to 3px
Noise: Up to 8% of pixels

Similar Projects

See More