Dataset Versions

v37

2024-11-13 5:59pm

Generated on Nov 13, 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 81%
84Images
Valid Set 19%
20Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 4-100% Vertical Region
Resize: Stretch to 1024x1024

Augmentations

Outputs per training example: 3
Brightness: Between -16% and +16%
Blur: Up to 0.7px
Noise: Up to 1.05% of pixels

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