Dataset Versions

v1

2021-09-14 4:30pm Export from YOLOv5_Ds4

Generated on Sep 14, 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 88%
3657Images
Valid Set 8%
348Images
Test Set 4%
174Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Saturation: Between -9% and +9%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%

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