gtsrbanno

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min-dataset

Object Detection

min-dataset Image Dataset

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Versions
good-aug
v5
Apr 18, 2023
normal 1
v4
Apr 17, 2023
normal 2
v3
Apr 17, 2023
useless agumen
v2
Apr 17, 2023
useless pre processing test
v1
Apr 17, 2023
v5

good-aug

Generated on Apr 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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4109 Total Images

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Dataset Split

Train Set 91%
3732Images
Valid Set 8%
324Images
Test Set 1%
53Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -40% and +40%
Brightness: Between -29% and +29%
Exposure: Between -27% and +27%
Blur: Up to 5px
Noise: Up to 7% of pixels