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View All on GitHubWe propose a vision+language project: a lightweight Language-Guided Vision AutoML system where a user describes the task in natural language (e.g., “detect helmets in CCTV footage under low light, prioritize speed”) and the system automatically converts this language specification into a constrained training pipeline.
We propose a vision+language project: a lightweight Language-Guided Vision AutoML system where a user describes the task in natural language (e.g., “detect helmets in CCTV footage under low light, prioritize speed”) and the system automatically converts this language specification into a constrained training pipeline.
We propose a vision+language project: a lightweight Language-Guided Vision AutoML system where a user describes the task in natural language (e.g., “detect helmets in CCTV footage under low light, prioritize speed”) and the system automatically converts this language specification into a constrained training pipeline.
We propose a vision+language project: a lightweight Language-Guided Vision AutoML system where a user describes the task in natural language (e.g., “detect helmets in CCTV footage under low light, prioritize speed”) and the system automatically converts this language specification into a constrained training pipeline.
We propose a vision+language project: a lightweight Language-Guided Vision AutoML system where a user describes the task in natural language (e.g., “detect helmets in CCTV footage under low light, prioritize speed”) and the system automatically converts this language specification into a constrained training pipeline.
We propose a vision+language project: a lightweight Language-Guided Vision AutoML system where a user describes the task in natural language (e.g., “detect helmets in CCTV footage under low light, prioritize speed”) and the system automatically converts this language specification into a constrained training pipeline.
We propose a vision+language project: a lightweight Language-Guided Vision AutoML system where a user describes the task in natural language (e.g., “detect helmets in CCTV footage under low light, prioritize speed”) and the system automatically converts this language specification into a constrained training pipeline.