Dataset Versions

v6

20220118v4

Generated on Jan 18, 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 92%
1161Images
Valid Set 8%
97Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Noise: Up to 4% of pixels
Cutout: 2 boxes with 10% size each
Bounding Box: Rotation: Between -12° and +12°
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical

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