Dataset Versions

v2

2024-05-30 8:37pm

Generated on May 30, 2024

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 95%
842Images
Valid Set 5%
47Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 30-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 620x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°

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