Dataset Versions

v1

test set dec 2023

Generated on Dec 18, 2023

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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%
147Images
Valid Set 8%
14Images
Test Set 4%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Brightness: Between -50% and +50%
Exposure: Between -12% and +12%
Blur: Up to 1px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -50% and +50%
Bounding Box: Noise: Up to 5% of pixels

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