Dataset Versions

v1

2023-03-09 11:03pm

Generated on Mar 10, 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.
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Dataset Split

Train Set 87%
720Images
Valid Set 8%
68Images
Test Set 4%
34Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 608x608

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -19° and +19°
Grayscale: Apply to 25% of images
Brightness: Between -31% and +31%
Exposure: Between -30% and +30%
Blur: Up to 1.25px
Mosaic: Applied

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