Dataset Versions

v3

2024-02-02 8:44am

Generated on Feb 2, 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 94%
1851Images
Valid Set 3%
65Images
Test Set 3%
62Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -14° and +14°
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%
Bounding Box: Brightness: Between -16% and +16%
Bounding Box: Exposure: Between -13% and +13%

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