Dataset Versions

v14

1000

Generated on Apr 5, 2022

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 91%
936Images
Valid Set 9%
91Images
Test Set 0%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±8° Horizontal, ±11° Vertical
Grayscale: Apply to 20% of images
Blur: Up to 1.25px
Noise: Up to 1% of pixels
Mosaic: Applied

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