Dataset Versions

v6

2024-05-31 12:39pm

Generated on May 31, 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 86%
2547Images
Valid Set 8%
250Images
Test Set 6%
171Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -28% and +28%
Brightness: Between -8% and +8%
Exposure: Between -8% and +8%

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