Dataset Versions

v2

2024-08-11 4:31am

Generated on Aug 11, 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 94%
15147Images
Valid Set 0%
68Images
Test Set 6%
942Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x720
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels

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