Dataset Versions

v20

2022-01-19 10:41pm

Generated on Jan 19, 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%
1284Images
Valid Set 9%
137Images
Test Set 4%
59Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Filter Null: Require at least 30% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Grayscale: Apply to 40% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom

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