Dataset Versions

v4

2023-07-25 3:47pm

Generated on Jul 25, 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 93%
15432Images
Valid Set %
0Images
Test Set 7%
1105Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 224x224
Modify Classes: 16 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 1.25px

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