Dataset Versions

v5

2024-07-10 6:41pm

Generated on Jul 10, 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 92%
339Images
Valid Set 5%
20Images
Test Set 3%
10Images

Preprocessing

Auto-Orient: Applied
Static Crop: 21-75% Horizontal Region, 15-75% Vertical Region
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 5
Rotation: Between -15° and +15°

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