train parts

Train hanging parts detection

Object Detection

Train hanging parts detection Image Dataset

v4

2024-05-25 1:21pm

Generated on May 25, 2024

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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 92%
681Images
Valid Set 5%
37Images
Test Set 3%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 1.49% of pixels
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels