aditya

house_detection

Object Detection

house_detection Image Dataset

v4

2024-03-02 3:28pm

Generated on Mar 2, 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 85%
4600Images
Valid Set 8%
420Images
Test Set 7%
386Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 0.42% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Noise: Up to 0.1% of pixels