test

test2

Object Detection

test2 Image Dataset

v16

2024-02-25 2:14pm

Generated on Feb 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%
17523Images
Valid Set 5%
1019Images
Test Set 3%
523Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -14° and +14°
Grayscale: Apply to 20% of images
Hue: Between -18° and +18°
Saturation: Between -29% and +29%
Brightness: Between -20% and +20%
Exposure: Between -14% and +14%
Blur: Up to 1.2px
Noise: Up to 0.62% of pixels