Dataset Versions

v2

2024-08-29 8:38am

Generated on Aug 29, 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 95%
2766Images
Valid Set 5%
153Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Shear: ±5° Horizontal, ±8° Vertical
Grayscale: Apply to 5% of images
Brightness: Between -10% and +10%
Exposure: Between -7% and +7%
Blur: Up to 0.5px
Noise: Up to 1.05% of pixels