Dataset Versions

v24

2022-10-12 8:15am

Generated on Oct 12, 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.
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Dataset Split

Train Set 89%
3748Images
Valid Set 11%
468Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 615x462
Modify Classes: 0 remapped, 1 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 2
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1% of pixels

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