MTP

tata training

Object Detection

tata training Image Dataset

v1

crop_blur_noise_cutout

Generated on Apr 9, 2022

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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 87%
954Images
Valid Set 8%
90Images
Test Set 4%
48Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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