Dataset Versions

v1

2022-11-13 2:35pm

Generated on Nov 13, 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 98%
945Images
Valid Set 2%
17Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -9° and +9°
Shear: ±4° Horizontal, ±5° Vertical
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Noise: Up to 1% of pixels
Bounding Box: Flip: Horizontal

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