Dataset Versions

v2

2023-06-10 6:56pm

Generated on Jun 10, 2023

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%
3069Images
Valid Set 8%
288Images
Test Set 4%
155Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Saturation: Between -45% and +45%
Brightness: Between -25% and +25%
Exposure: Between -27% and +27%
Blur: Up to 2.5px
Noise: Up to 2% of pixels

Similar Projects

See More