Dataset Versions

v2

2021-10-08 2:49pm

Generated on Oct 8, 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.
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Dataset Split

Train Set 86%
537Images
Valid Set 9%
57Images
Test Set 5%
32Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Brightness: Between -10% and +10%
Exposure: Between -20% and +20%
Noise: Up to 4% of pixels

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