Dataset Versions

v9

2024-04-16 12:01am

Generated on Apr 15, 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.
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Dataset Split

Train Set 94%
570Images
Valid Set 6%
35Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1000x600

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Exposure: Between -10% and +10%
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Blur: Up to 4px
Bounding Box: Noise: Up to 2% of pixels

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