Dataset Versions

v1

2024-10-20 10:29am

Generated on Oct 20, 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 88%
4197Images
Valid Set 8%
399Images
Test Set 4%
200Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±12° Horizontal, ±12° Vertical
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.14% of pixels

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