Open-source object detector llmdet_swin_large_hf - Precisely detect objects under the supervision of large language models

Llmdet Swin Large Hf

Developed by fushh7

LLMDet is a powerful open-vocabulary object detector supervised by large language models, a highlight paper at CVPR2025

Open Source License:Apache-2.0 #Zero-shot Object Detection #Open-vocabulary Recognition #Large Language Model Supervision

Downloads 3,428

Release Time : 4/6/2025

Model Overview

This model utilizes large language models for supervised learning, achieving zero-shot object detection capabilities, particularly suitable for object recognition tasks in open-vocabulary scenarios

Model Features

Large Language Model Supervision

Utilizes knowledge from large language models for supervised learning, enhancing the model's understanding capabilities

Open-vocabulary Detection

Capable of detecting new object categories not present in the training data

Zero-shot Learning

Achieves object detection without requiring training samples for specific categories

Model Capabilities

Open-vocabulary Object Detection

Zero-shot Learning

Multi-category Recognition

Use Cases

Computer Vision

Unknown Object Detection

Detects unknown or newly emerged object categories

Recognizes new categories without retraining

Scene Understanding

Multi-object recognition and localization in complex scenes

Accurately identifies and locates various objects

Property	Details
Pipeline Tag	Zero - shot object detection
License	Apache - 2.0

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Llmdet Swin Large Hf

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 LLMDet - Hugging Face Version

🚀 Quick Start

📄 License

📚 Documentation