Dataset Versions

v15

real

Generated on Feb 21, 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 89%
1335Images
Valid Set 11%
161Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Filter Null: Require at least 12% of images to contain annotations.
Filter by Tag: 0 required, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -16° and +16°
Saturation: Between -11% and +11%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.4px
Noise: Up to 0.46% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Brightness: Between -15% and +15%