Dataset Versions

v5

2024-10-09 2:52pm

Generated on Oct 9, 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 89%
672Images
Valid Set 7%
56Images
Test Set 3%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -4° and +4°
Shear: ±15° Horizontal, ±13° Vertical
Brightness: Between -11% and +11%
Blur: Up to 1.1px
Noise: Up to 0.18% of pixels

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