Cams Workspace

Tyre's

Object Detection

Tyre's Image Dataset

v1

2024-01-11 11:45am

Generated on Jan 11, 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 87%
1323Images
Valid Set 13%
199Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
tires-tires-tires-Tyres-tires-Tyres-tires
795 images
tires-tires-Tyres-tires-Tyres-tires
638 images
Tyres-tires-tires-Tyres-tires-Tyres-tires
637 images
tires-Tyres-tires-Tyres-tires
583 images
tires
428 images