Dataset Versions

v2

2022-10-04 4:28am

Generated on Oct 3, 2022

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 89%
1944Images
Valid Set 7%
162Images
Test Set 4%
90Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 5% Minimum Zoom, 30% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Brightness: Between -10% and +10%
Blur: Up to 1px

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