Dataset Versions

v4

Final_Dataset

Generated on Sep 30, 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%
3048Images
Valid Set 8%
289Images
Test Set 4%
143Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Blur: Up to 0.5px
Bounding Box: Rotation: Between -15° and +15°

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