Dataset Versions

v7

2024-04-21 10:28pm

Generated on Apr 21, 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.
Other Formats
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Dataset Split

Train Set 92%
1700Images
Valid Set 5%
98Images
Test Set 3%
48Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 5
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 0.1% of pixels