Dataset Versions

v7

2023-09-02 12:30pm

Generated on Sep 2, 2023

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%
2448Images
Valid Set 9%
246Images
Test Set 5%
137Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 300x300
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -30° and +30°
Grayscale: Apply to 30% of images
Exposure: Between -25% and +25%
Blur: Up to 1px
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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