Dataset Versions

v3

2024-10-14 1:11am

Generated on Oct 14, 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 85%
19500Images
Valid Set 8%
1750Images
Test Set 8%
1750Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±13° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%

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