Dataset Versions

v5

2024-01-31 12:02pm

Generated on Jan 31, 2024

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
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Dataset Split

Train Set 99%
5364Images
Valid Set 0%
19Images
Test Set 0%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 6 remapped, 0 dropped

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
Saturation: Between -5% and +5%
Blur: Up to 3.5px
Noise: Up to 1.01% of pixels