Dataset Versions

v1

2023-09-19 12:08pm

Generated on Sep 19, 2023

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 87%
7755Images
Valid Set 8%
739Images
Test Set 4%
369Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -5° and +5°
Hue: Between -6° and +6°
Saturation: Between -7% and +7%
Brightness: Between -9% and +9%
Blur: Up to 1px
Noise: Up to 5% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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