Dataset Versions

v3

2024-07-30 1:36pm

Generated on Jul 30, 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 87%
1035Images
Valid Set 8%
100Images
Test Set 4%
49Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-78% Horizontal Region, 31-82% Vertical Region
Resize: Stretch to 420x420

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Hue: Between -25° and +25°
Exposure: Between -9% and +9%

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