Dataset Versions

v2

2024-05-19 6:42pm

Generated on May 19, 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.
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Dataset Split

Train Set 95%
1820Images
Valid Set 4%
80Images
Test Set 1%
10Images

Preprocessing

Auto-Orient: Applied
Static Crop: 37-73% Horizontal Region, 25-66% Vertical Region
Resize: Stretch to 1080x1080

Augmentations

Outputs per training example: 7
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical

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