功能

功能

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。

内置 AI 助手,通过对话自动标注云端 YOLO 模型训练,GPU 加速多格式模型导出:PyTorch/ONNX/TensorRT/CoreML/TFLite多种标注类型:矩形框、多边形、旋转框、关键点

全部功能

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 自动标注助手

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。

自然语言处理,实现直观标注
单条指令支持多种对象类型
通过「应用到全部图片」进行批量处理
高分辨率模式,用于精细标注
深度思考模式,处理复杂场景
☁️ 云端 YOLO 模型训练

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
📦 多格式模型导出

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 用于跨平台推理
TensorRT 用于 NVIDIA GPU 加速
CoreML 用于 iOS/macOS 部署
TFLite, OpenVINO, NCNN for edge devices
🎯 多种标注类型

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.

复核与质量控制

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。

数据集版本与交付

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。

企业安全与部署

通过平台管理权限、审计要求和部署规划。

自动化与集成

把自动化、API 访问和复核流程整合到一个平台。

功能

Signals that the feature discussion is becoming a platform decision

团队已经需要复核流程、问题追踪和交付,而不只是单人标注。
采购方开始追问训练和交付背后对应哪个数据集版本。
采购流程开始关心部署方式、审计范围或权限边界。
正式部署需要提前确认 API 访问或自动化规划。

🗂️ 多种标注格式

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

🎬 视频转帧解码器

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

批量目标检测

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

🌐 多语言支持

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)

🖱️ 触控板优化

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

🖼️ 高分辨率图像支持

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

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

🆓 免费使用

核心功能完全免费。无需安装,直接在浏览器中使用。

100% 免费核心功能
无需安装
支持所有现代浏览器
新用户免费 AI 额度
无需信用卡

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

Data Engine / Workflow

把标注、复核、训练、导出和交付放进同一条数据工作流。

查看工作流页
数据版本

Dataset Versions

用版本冻结、发布和训练复现,把数据集变成可交付资产。

查看版本页
质量控制

Quality Control

把抽检、复核、返工和验收门槛放进平台内建流程。

查看质控页
团队生产

Team Production

用共享工作区、角色分工和进度透明,支撑团队级数据生产。

查看团队页

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。

Dataset versions, release delivery, and lineage are part of the platform path
Review, issue handling, and delivery handoff work as one operating surface
下载入口、交接链接和可分享摘要页
把 agent 入口和企业数据生产边界分开,由主站承担更可控的安全、审计和责任链。
将视频解码为帧并直接标注
一次性将 AI 标注应用到所有图像
YOLO/VOC/COCO/CSV 导入导出
加载已训练模型进行批量检测和验证
导入已有标注进行审查和验证
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.