iSEE-Laboratory/llmdet_base is a base variant of the LLMDet model designed for zero-shot object detection. It leverages large language models and vision transformers to identify and localize objects described in natural language without prior training on specific classes. The model integrates with the Hugging Face Transformers library for easy experimentation and deployment in computer vision pipelines.
Llmdet Base sits in PulseGate's Other AI category. It focuses on detecting arbitrary objects in images without task-specific training data. Llmdet Base is an open-source project aimed at computer vision researchers. Llmdet Base is open source under the Open Source license. Llmdet Base is available on the web and API.
It is developed by iSEE-Laboratory, and it first shipped in 2023. Development happens publicly on GitHub with 121 stars. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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