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UWH

Object Detection

UWH Image Dataset

Try Pre-Trained Model
Versions
Original images only
v6
Jan 10, 2022
Small objects sugesitons
v5
Jan 5, 2022
2nd test. no transformations
v4
Jan 3, 2022
First test FAIL
v3
Jan 2, 2022
v5

Small objects sugesitons

Generated on Jan 5, 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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2555 Total Images

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Dataset Split

Train Set 35%
896Images
Valid Set 42%
1061Images
Test Set 23%
598Images

Preprocessing

Resize: Stretch to 1024x1024
Tile: 4 rows x 4 columns
Modify Classes: 2 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 1
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Mosaic: Applied