Dataset Versions

Versions
2023-04-25 3:01pm
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v65

2023-04-24 2:03pm

Generated on Apr 24, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 100%
273Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Static Crop: 3-97% Horizontal Region, 3-97% Vertical Region
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Saturation: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 0.25px

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