Open-source object detection model llmdet_swin_tiny_hf - Zero-shot detection to meet diverse needs

Llmdet Swin Tiny Hf

Developed by fushh7

LLMDet is a powerful open-vocabulary object detector supervised by large language models, capable of zero-shot object detection.

Object Detection

Safetensors

Open Source License:Apache-2.0 #Zero-shot object detection #Open-vocabulary recognition #Large language model supervision

Downloads 2,451

Release Time : 4/6/2025

Model Overview

LLMDet is an object detector supervised by large language models, particularly excelling in zero-shot object detection tasks with strong open-vocabulary recognition capabilities.

Model Features

Zero-shot object detection

Detects objects of new categories without category-specific training

Open-vocabulary recognition

Capable of recognizing categories not present in the training data

Large language model supervision

Enhances object detection capabilities using knowledge from large language models

Model Capabilities

Zero-shot object detection

Open-vocabulary recognition

Multi-category object recognition

Use Cases

Computer vision

Unknown object detection

Detects newly appeared objects without training on specific categories

Open-scene understanding

Recognizes objects of various categories in open environments

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Llmdet Swin Tiny Hf

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 LLMDet - Hugging Face Version

🚀 Quick Start

📄 License

📚 Documentation