Dataset Versions

v6

2024-01-31 12-16am 640 x 640 - Augmentations

Generated on Jan 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 88%
903Images
Valid Set 8%
87Images
Test Set 4%
42Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Hue: Between -8° and +8°
Saturation: Between -12% and +12%
Brightness: Between -11% and +11%
Exposure: Between -2% and +2%
Blur: Up to 0.4px

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