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Parking Vehicles

Object Detection

Parking Vehicles Image Dataset

v11

Colorful - 640x640 - similar to v8 with mosaic

Generated on Mar 29, 2022

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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.
CreateML JSON
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Dataset Split

Train Set 65%
1323Images
Valid Set 17%
349Images
Test Set 17%
351Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Grayscale: Apply to 10% of images
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 0.25px
Noise: Up to 1% of pixels
Cutout: 6 boxes with 4% size each
Mosaic: Applied
person-and-cars-35Zs
3370 images
person-and-cars
3973 images
person-and-cars
2916 images
people-and-vehicles
9506 images
cars-parking-place
212 images