deneme1 Dataset

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Versions
2023-11-26 7:20pm
v2
·
7 months ago
2023-11-22 4:31am
v1
·
7 months ago
v1

2023-11-22 4:31am

Generated on Nov 22, 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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73 Total Images

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Dataset Split

Train Set 86%
63Images
Valid Set 10%
7Images
Test Set 4%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 500x500

Augmentations

Outputs per training example: 3
Grayscale: Apply to 66% of images
Saturation: Between -87% and +87%
Brightness: Between -36% and +36%
Noise: Up to 13% of pixels