使用自然语言与AI对话,自动标注图像。描述您想要标注的内容,AI将为您检测并标注对象。
AI助手使用先进的计算机视觉模型来理解您的指令并自动创建标注。您可以使用「标注所有人」「标注汽车和卡车」「标记所有交通标志」等命令。AI支持多种标注类型,包括边界框、多边形和关键点。
探索 TjMakeBot 提供的全部强大功能,包括 AI 图像标注、云端 YOLO 训练和模型导出。
探索TjMakeBot功能:AI助手、云端YOLO模型训练、多格式模型导出、多种标注格式、视频解码器、批量检测、多语言支持等。
AI助手使用先进的计算机视觉模型来理解您的指令并自动创建标注。您可以使用「标注所有人」「标注汽车和卡车」「标记所有交通标志」等命令。AI支持多种标注类型,包括边界框、多边形和关键点。
After completing annotations, submit training tasks directly from your browser. Supports YOLOv5, YOLOv8, YOLOv9, YOLOv10, YOLOv11 and more. Configure epochs, batch size, image size, and other parameters. Training progress is pushed in real-time via WebSocket, with email notifications upon completion.
Choose the right model format for your deployment needs: PyTorch (.pt) for research and continued training, ONNX for cross-platform inference, TensorRT for NVIDIA GPU acceleration, CoreML for iOS/macOS deployment, TFLite for Android/TensorFlow, OpenVINO for Intel hardware acceleration, NCNN for mobile and embedded devices.
Different computer vision tasks require different annotation types. TjMakeBot supports all common annotation types to meet your diverse needs.
The buying decision usually changes when teams stop asking only what the editor can do, and start asking how review, versions, and delivery fit together.
把分散的标注动作升级成共享复核流程、问题处理和交付检查点。
把审核通过的输出连接到数据集版本、训练结果和客户交付。
通过平台管理权限、审计要求和部署规划。
把自动化、API 访问和复核流程整合到一个平台。
Support for YOLO, Pascal VOC, COCO, and CSV formats. Import and export in any format you need.
Extract frames from videos at custom FPS for video object detection dataset creation.
Use trained models to automatically detect objects across multiple images at once.
Interface available in 9 languages: English, Chinese, Japanese, Korean, German, French, Russian, and more.
Optimized zoom and pan controls for trackpad users, making annotation smooth and efficient.
Handle high-resolution images efficiently with optimized rendering and memory management.
核心功能完全免费。无需安装,直接在浏览器中使用。
If the core feature list already makes sense, the next step is to move into workflow, dataset versions, quality control, and team production.
Use Pricing and Security next when the decision depends on review governance, deployment options, audit scope, or API access planning.