Dataset Versions

v4

2021-10-17 8:41am

Generated on Oct 16, 2021

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.
Other Formats
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Dataset Split

Train Set 89%
303Images
Valid Set 6%
20Images
Test Set 6%
19Images

Preprocessing

Auto-Orient: Applied
Static Crop: 9-90% Horizontal Region, 6-92% Vertical Region
Resize: Fit within 100x100

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±26° Horizontal, ±26° Vertical
Blur: Up to 1px
Bounding Box: Shear: ±4° Horizontal, ±3° Vertical

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