Dataset Versions

v7

2024-04-16 11:04am

Generated on Apr 16, 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 92%
11925Images
Valid Set 6%
750Images
Test Set 2%
250Images

Preprocessing

Resize: Fill (with center crop) in 1280x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 5 rows x 5 columns

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Shear: ±8° Horizontal, ±8° Vertical
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 1.3px

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