ERLMVP

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GNN_YOLO

Object Detection

GNN_YOLO Image Dataset

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Versions
2022-10-11 7:44pm
v4
Oct 12, 2022
2022-10-10 1:16pm
v2
Oct 10, 2022
2022-10-10 12:46pm
v1
Oct 10, 2022
v1

2022-10-10 12:46pm

Generated on Oct 10, 2022
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
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484 Total Images

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Dataset Split

Train Set 92%
444Images
Valid Set 4%
20Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1028x1028
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 11 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Brightness: Between -9% and +9%
Exposure: Between -8% and +8%
Noise: Up to 2% of pixels