dima806/smoker_image_classification is a fine-tuned ViT (Vision Transformer) model that performs binary image classification to determine if an image contains a smoker. It is available through the Hugging Face Transformers pipeline for image-classification and can be integrated into applications for content moderation or health-related analysis.
Smoker Image Classification is an Other AI project. Automatically detecting whether an image contains a person smoking. It is built as an open-source project for developers. The project is open source (Open Source). Smoker Image Classification is available on the web, and it can be self-hosted.
It is developed by dima806, and it first shipped in 2023.
Summary written by a language model from the project’s public pages.
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