Trial 1

RAT_Diagnosis

Object Detection

RAT_Diagnosis Image Dataset

v4

RAT_Diag_v4

Generated on Aug 3, 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.
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Dataset Split

Train Set 87%
474Images
Valid Set 8%
45Images
Test Set 4%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
RAT
Negative-or-Positive
253 images
covid19
200 images
RAT-kits
132 images
Number-of-Lines
53 images