Dataset Versions

v1

2023-05-23 8:12pm

Generated on May 23, 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 91%
3639Images
Valid Set 5%
187Images
Test Set 5%
191Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -20° and +20°
Shear: ±24° Horizontal, ±8° Vertical
Grayscale: Apply to 25% of images
Hue: Between -39° and +39°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied

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