Dataset Versions

v2

2023-02-07 1:34pm

Generated on Feb 7, 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 94%
8583Images
Valid Set 6%
502Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±0° Horizontal, ±20° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -17% and +17%
Blur: Up to 1.25px
Noise: Up to 3% of pixels

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