Dataset Versions

v1

2024-01-19 10:40am

Generated on Jan 19, 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 96%
2655Images
Valid Set 4%
114Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -6° and +6°
Shear: ±8° Horizontal, ±8° Vertical
Hue: Between -24° and +24°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%
Blur: Up to 1.9px
Noise: Up to 1.17% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Exposure: Between -10% and +10%

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