Trial 1

RAT Testing

Object Detection

RAT Testing Image Dataset

v3

RAT_v3

Generated on Aug 1, 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%
132Images
Valid Set 8%
12Images
Test Set 5%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Number-of-Lines
53 images
RAT
RAT
RAT-kits
69 images
RAT
Negative-or-Positive
253 images
RAT
covid19
86 images