Dataset Versions

v4

2024-01-10 10:00am

Generated on Jan 10, 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 82%
112Images
Valid Set 12%
16Images
Test Set 6%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Rotation: Between -10° and +10°
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 6 boxes with 8% size each
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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