使用自然語言與AI對話,自動標註圖像。描述您想要標註的內容,AI將為您檢測並標註對象。
AI助手使用先進的計算機視覺模型來理解您的指令並自動創建標註。您可以使用「標註所有人」「標註汽車和卡車」「標記所有交通標誌」等命令。AI支援多種標註類型,包括邊界框、多邊形和關鍵點。
探索TjMakeBot為AI圖像標註、雲端YOLO訓練和模型導出提供的所有強大功能。
探索TjMakeBot功能:AI助手、雲端YOLO模型訓練、多格式模型導出、多種標註格式、視頻解碼器、批量測試、多語言支援等。
AI助手使用先進的計算機視覺模型來理解您的指令並自動創建標註。您可以使用「標註所有人」「標註汽車和卡車」「標記所有交通標誌」等命令。AI支援多種標註類型,包括邊界框、多邊形和關鍵點。
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.
把分散的標註動作升級成共享複核流程、問題處理和交付檢查點。
把審核通過的輸出連接到資料集版本、訓練結果和客戶交付。
透過平台管理權限、審計要求和部署規劃。
把自動化、API 存取和複核流程整合到一個平台。
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.
Core features are completely free. No installation required, works directly in your browser.
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.