WHUCMC

1860 v4

Object Detection

1860 v4 Image Dataset

v4

2024-03-24 7:44pm

Generated on Mar 24, 2024

Popular Download Formats

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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 88%
11454Images
Valid Set 8%
1090Images
Test Set 4%
544Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -4° and +4°
Hue: Between -20° and +20°
Brightness: Between -9% and +9%
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 1% size each

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