Dataset Versions

v4

2023-06-20 7:51pm

Generated on Jun 20, 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 84%
558Images
Valid Set 10%
70Images
Test Set 6%
40Images

Preprocessing

Resize: Stretch to 512x512
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Bounding Box: Shear: ±10° Horizontal, ±0° Vertical

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