功能

功能

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。

內置AI助手,通過對話進行自動標註雲端YOLO模型訓練,GPU加速多格式模型導出: PyTorch/ONNX/TensorRT/CoreML/TFLite多種標註類型: 邊界框、多邊形、OBB、關鍵點

全部功能

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 Assistant for Automatic Annotation

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。

自然語言處理,實現直觀標註
單條指令支援多種對象類型
通過「應用到全部圖片」進行批量處理
高分辨率模式,用於精細標註
深度思考模式,處理複雜場景
☁️ Cloud YOLO Model Training

Train YOLOv5/v8/v9/v10/v11 models in the cloud with GPU acceleration. No local environment setup required.

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.

Support for YOLOv5, YOLOv8, YOLOv9, YOLOv10, YOLOv11
Cloud GPU acceleration, no local setup needed
Configurable training parameters
Real-time progress monitoring via WebSocket
Email notification when training completes
📦 Multi-Format Model Export

Export trained models to PyTorch, ONNX, TensorRT, CoreML, TFLite, OpenVINO, NCNN and more formats.

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.

PyTorch (.pt) for research and training
ONNX for cross-platform inference
TensorRT for NVIDIA GPU acceleration
CoreML for iOS/macOS deployment
TFLite, OpenVINO, NCNN for edge devices
🎯 多種標註類型

Support for bounding boxes, polygons, oriented bounding boxes (OBB), and keypoint annotations.

Different computer vision tasks require different annotation types. TjMakeBot supports all common annotation types to meet your diverse needs.

Bounding boxes (rectangles) for object detection
Polygons for precise object boundaries
Oriented bounding boxes (OBB) for rotated objects
Keypoint annotations for pose estimation
Support for COCO person, face, and hand keypoint templates

This is more than a feature list

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.

複核與品質控制

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。

資料集版本與交付

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。

企業安全與部署

透過平台管理權限、審計要求和部署規劃。

自動化與整合

把自動化、API 存取和複核流程整合到一個平台。

功能

Signals that the feature discussion is becoming a platform decision

團隊已經需要複核流程、問題追蹤和交付,而不只是單人標註。
採購方開始追問訓練和交付背後對應哪個資料集版本。
採購流程開始關心部署方式、審計範圍或權限邊界。
正式部署需要提前確認 API 存取或自動化規劃。

🗂️ Multiple Annotation Formats

Support for YOLO, Pascal VOC, COCO, and CSV formats. Import and export in any format you need.

YOLO format (YOLOv5, YOLOv8, YOLOv9, YOLOv10, YOLOv11)
Pascal VOC XML format
COCO JSON format
CSV format for data analysis
Simultaneous multi-format export

🎬 Video to Frames Decoder

Extract frames from videos at custom FPS for video object detection dataset creation.

Custom FPS setting (1-60 FPS)
Support for MP4, AVI, MOV formats
Batch video processing
Automatic frame extraction
Preserves video metadata

Batch Object Detection

Use trained models to automatically detect objects across multiple images at once.

Support for YOLO and ONNX models
Customizable confidence threshold
Configurable input size
Batch processing for efficiency
Automatic annotation generation

🌐 Multilingual Support

Interface available in 9 languages: English, Chinese, Japanese, Korean, German, French, Russian, and more.

9 interface languages
Full UI translation
Localized documentation
Cultural adaptation
RTL language support (coming soon)

🖱️ Trackpad Optimization

Optimized zoom and pan controls for trackpad users, making annotation smooth and efficient.

Pinch-to-zoom support
Two-finger pan gestures
Smooth scrolling
Precise crosshair positioning
Keyboard shortcuts for power users

🖼️ High-Resolution Image Support

Handle high-resolution images efficiently with optimized rendering and memory management.

Support for 4K+ images
Optimized memory usage
Progressive loading
Smart caching
Smooth performance

🆓 Free to Use

Core features are completely free. No installation required, works directly in your browser.

100% free core features
No installation required
Works in any modern browser
新用戶免費AI額度
No credit card required

Go deeper on the platform operating system

If the core feature list already makes sense, the next step is to move into workflow, dataset versions, quality control, and team production.

工作流程

Data Engine / Workflow

把標註、複核、訓練、匯出和交付放進同一條數據工作流。

查看工作流程頁
資料版本

Dataset Versions

用版本凍結、發布和訓練復現,把資料集變成可交付資產。

查看版本頁
品質控制

Quality Control

把抽檢、複核、返工和驗收門檻放進平台內建流程。

查看質控頁
團隊生產

Team Production

用共享工作區、角色分工和進度透明,支撐團隊級數據生產。

查看團隊頁

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。

Dataset versions, release delivery, and lineage are part of the platform path
Review, issue handling, and delivery handoff work as one operating surface
下載入口、交接連結和可分享摘要頁
把 agent 入口和企業資料生產邊界分開,由主站承擔更可控的安全、審計和責任鏈。
Decode video to frames and annotate directly
Apply AI annotations to all images at once
YOLO/VOC/COCO/CSV import & export
Load trained model for batch detection and validation
Import existing annotations for review and validation
功能

Need enterprise rollout or integration planning?

Use Pricing and Security next when the decision depends on review governance, deployment options, audit scope, or API access planning.