carbrand500

carbrand5001

Object Detection

carbrand5001 Image Dataset

v1

500perclass

Generated on Apr 17, 2023

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 82%
6642Images
Valid Set 12%
978Images
Test Set 6%
474Images

Preprocessing

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

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Shear: ±43° Horizontal, ±15° Vertical
Blur: Up to 6px
Noise: Up to 5% of pixels