Srr Yrcal Anadolu Lisesi

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Object Detection

numbers Image Dataset

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Versions
2023-12-12 9:06pm
v2
Dec 12, 2023
2023-12-12 6:56pm
v1
Dec 12, 2023
v1

2023-12-12 6:56pm

Generated on Dec 12, 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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38612 Total Images

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Dataset Split

Train Set 96%
36939Images
Valid Set 4%
1440Images
Test Set 1%
233Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 4-75% Horizontal Region, 16-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Cutout: 10 boxes with 10% size each
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise