Dataset Versions

v9

2023-08-29 10:34pm

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 88%
585Images
Valid Set 8%
55Images
Test Set 4%
27Images

Preprocessing

Resize: Stretch to 1280x1700
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 10 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -8° and +8°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Noise: Up to 8% of pixels

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