car-body-classifier is an open-source EfficientNetV2-S model for classifying eight types of vehicle bodies from images. It is designed for developers and researchers working on automotive computer vision tasks and integrates with PyTorch and CLI tools.
Car Body Classifier is an Other AI product. It focuses on automating the classification of vehicle body types from images for developers and researchers. It is built as an open-source project for computer vision developers. Car Body Classifier is open source under the Open Source license. The product ships for the command line.
It is developed by yigechundong, and the product first shipped in 2026. Development happens publicly on GitHub with 186 commits in the last 90 days. Key capabilities include vehicle classification, efficientNetV2-S, and image input.
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