Dataset Versions

v6

2023-08-29 8:56pm

Generated on Aug 29, 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%
2085Images
Valid Set 9%
211Images
Test Set 5%
120Images

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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