Dataset Versions

v2

2023-12-10 12:08am

Generated on Dec 9, 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 92%
2127Images
Valid Set 4%
87Images
Test Set 4%
87Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 450x450
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -50° and +50°
Brightness: Between -45% and +45%
Blur: Up to 2.5px
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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