NOVO

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Commercial Bank

Object Detection

Commercial Bank Image Dataset

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Versions
2023-07-06 5:38pm
v2
Jul 6, 2023
2023-07-06 5:13pm
v1
Jul 6, 2023
v2

2023-07-06 5:38pm

Generated on Jul 6, 2023
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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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544 Total Images

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Dataset Split

Train Set 84%
456Images
Valid Set 9%
48Images
Test Set 7%
40Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -15° and +15°