Agrif

mendeteksipakaianrapi

Object Detection

mendeteksipakaianrapi Image Dataset

v2

2023-06-14 12:21pm

Generated on Jun 14, 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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Dataset Split

Train Set 88%
2169Images
Valid Set 8%
196Images
Test Set 4%
111Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 800x450
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -27° and +27°
Shear: ±20° Horizontal, ±20° Vertical
Brightness: Between -31% and +31%
Blur: Up to 2px
Noise: Up to 8% of pixels
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