Supakkorn Virojtecha

Thesis05

Object Detection

Thesis05 Image Dataset

v3

testor

Generated on May 1, 2022

Popular Download Formats

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 %
0Images
Valid Set %
0Images
Test Set 100%
40Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Blur: Up to 4px
Noise: Up to 5% of pixels
Stress-concentration
311 images
Stress-concentration
320 images
Stress-concentration
375 images
Stress-concentration
400 images