Dataset Versions

v6

2023-11-29 2:33pm

Generated on Nov 29, 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 88%
20595Images
Valid Set 8%
1955Images
Test Set 4%
979Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -20° and +20°
Grayscale: Apply to 12% of images
Hue: Between -6° and +6°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -3% and +3%
Blur: Up to 0.75px
Mosaic: Applied

Similar Projects

See More