Dataset Versions

v6

2023-03-22 7:14pm

Generated on Mar 22, 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 89%
9627Images
Valid Set %
0Images
Test Set 11%
1132Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -31° and +31°
Brightness: Between -52% and +52%
Exposure: Between -28% and +28%
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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