Dataset Versions

v14

2021-12-12 9:18am

Generated on Dec 12, 2021

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 86%
4767Images
Valid Set 8%
462Images
Test Set 5%
284Images

Preprocessing

Resize: Stretch to 416x416
Modify Classes: 6 remapped, 5 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -100° and +100°
Saturation: Between -50% and +50%
Exposure: Between -25% and +25%
Noise: Up to 7% of pixels

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