Dataset Versions

v3

2024-11-23 5:33pm

Generated on Nov 23, 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%
16581Images
Valid Set 6%
1063Images
Test Set 2%
364Images

Preprocessing

Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±13° Vertical
Bounding Box: Blur: Up to 0.5px
Bounding Box: Noise: Up to 0.1% of pixels

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