Dataset Versions

v10

2022-11-23 9:03pm

Generated on Nov 23, 2022

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 87%
324Images
Valid Set 8%
29Images
Test Set 6%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -20° and +20°
Grayscale: Apply to 80% of images
Noise: Up to 2% of pixels
Cutout: 8 boxes with 2% size each
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -12° and +12°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Exposure: Between -8% and +8%
Bounding Box: Noise: Up to 3% of pixels

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