Dataset Versions

v5

2023-01-29 10:34pm

Generated on Jan 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 89%
9279Images
Valid Set 9%
965Images
Test Set 2%
230Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x360

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Saturation: Between -28% and +28%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 5% of pixels