Roboflow

Roboflow

High-performance real-time detection, empowering computer vision projects

平台
Web
AI Image RecognitionAI DetectorAI Developer ToolsAI

RF-DETR, a high-performance real-time object detection model, achieves over 60 mAP on the COCO dataset. It offers two sizes, base and large, to adapt to different computing resources. It includes training and deployment tools and supports GitHub, Colab, and Roboflow Train services. It is equipped with an AI-assisted annotation tool to efficiently complete polygon annotation, label assistance, and automatic annotation. The management and analysis tools optimize the quality of the dataset, support diverse annotation tasks and team collaboration functions, and comprehensively facilitate the construction and efficient operation of computer vision models.

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Build and deploy a comprehensive solution for computer vision models, covering automated annotation tools and high-performance deployment solutions, to help you easily build and efficiently run vision models and improve project efficiency.

产品功能

  • RF-DETR是首个在COCO数据集上实现60+ mAP的实时对象检测模型。
  • 提供RF-DETR-base和RF-DETR-large两种模型尺寸,适用于不同计算资源限制的场景。
  • 提供RF-DETR模型的训练和部署工具,包括GitHub资源、Colab Notebook以及Roboflow Train服务。
  • 提供AI辅助标注工具,支持多边形标注、标签辅助和自动标注功能,提高数据标注效率。
  • 提供数据集管理和分析工具,支持数据搜索、过滤、可视化和分析,提高数据集质量。
  • 支持多种标注任务,包括对象检测、实例分割、关键点检测和分类,满足不同类型的计算机视觉项目需求。
  • 提供团队协作功能,支持项目管理、任务分配、角色访问控制和团队沟通。

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