Dataset Versions

v2

2023-11-30 5:25pm

Generated on Nov 30, 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.
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Dataset Split

Train Set 89%
24Images
Valid Set 7%
2Images
Test Set 4%
1Images

Preprocessing

Static Crop: 22-69% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±4° Horizontal, ±3° Vertical
Hue: Between -28° and +28°
Saturation: Between -38% and +38%
Brightness: Between -35% and +35%
Exposure: Between -11% and +11%
Noise: Up to 1% of pixels

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