Dataset Versions

v1

Dataset Main

Generated on Jun 15, 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 90%
3942Images
Valid Set 8%
352Images
Test Set 2%
88Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Hue: Between -41° and +41°
Saturation: Between -52% and +52%
Brightness: Between -54% and +54%
Exposure: Between -14% and +14%
Blur: Up to 3.5px
Noise: Up to 7% of pixels