Features

Explore all the powerful features TjMakeBot offers for AI image annotation, cloud YOLO training, and model export.

Built-in AI Assistant for auto annotation via chatCloud YOLO model training with GPU accelerationMulti-format model export: PyTorch/ONNX/TensorRT/CoreML/TFLiteMultiple annotation types: bounding boxes, polygons, OBB, keypoints

Tutorials & User Guide Pricing Review security Talk to enterprise Compare tools

All Features

Discover TjMakeBot features: AI Assistant, cloud YOLO model training, multi-format model export, multiple annotation formats, video decoder, batch detection, multilingual support, and more.

🤖 AI Assistant for Automatic Annotation

Chat with AI to automatically annotate images using natural language. Describe what you want to label, and the AI will detect and annotate objects for you.

The AI Assistant uses advanced computer vision models to understand your instructions and automatically create annotations. You can use commands like "annotate all people", "label cars and trucks", or "mark all traffic signs". The AI supports multiple annotation types including bounding boxes, polygons, and keypoints.

Natural language processing for intuitive annotation

Support for multiple object types in a single command

Batch processing with "Apply to All Images"

High-resolution mode for detailed annotations

Deep thinking mode for complex scenes

☁️ 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

🎯 Multiple Annotation Types

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, delivery, and enterprise rollout fit together.

Review and QA operations

Move from isolated annotation actions into shared review routing, issue handling, rework, and delivery checkpoints.

Dataset versions and release delivery

Connect approved output to dataset versions, release surfaces, training lineage, artifacts, and customer handoff.

Enterprise boundaries and deployment

Use the main platform to hold permissions, audit expectations, private deployment decisions, and rollout planning.

Automation and integration planning

Bring workflow automation, API or webhook boundaries, and human review checkpoints into one rollout decision path.

Features

Signals that the feature discussion is becoming a platform decision

The team needs review routing, issue tracking, and handoff instead of solo annotation only.

The buyer asks which dataset version or release is behind training and delivery.

Procurement starts asking about private deployment, audit scope, or permission boundaries.

Rollout requires API, webhook, callback, or automation boundary planning.

Talk to enterprise Pricing Review security

🗂️ 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

Free AI credits for new users

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.

Workflow

Data Engine / Workflow

Connect annotation, review, training, export, and delivery in one data workflow.

View workflow page →

Dataset versions

Dataset Versions

Turn datasets into release assets with version freezes, handoff history, and reproducible training.

View versions page →

Quality control

Quality Control

Bring spot checks, review loops, rework, and acceptance gates into the platform.

View quality page →

Team production

Team Production

Run team-scale data production with shared workspace, role routing, and throughput visibility.

View team page →

Discover TjMakeBot features: AI Assistant, cloud YOLO model training, multi-format model export, multiple annotation formats, video decoder, batch detection, multilingual support, and more.

Dataset versions, release delivery, and lineage are part of the platform path

Review, issue handling, and delivery handoff work as one operating surface

Download entry, handoff link, and shareable summary page

Keep agent entry separate from enterprise data boundaries, with the main site owning security, audit, and accountability.

Need automation? Connect OpenClaw tasks to review, training, export, and delivery workflows.

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

Features

Need enterprise rollout or integration planning?

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

Tutorials & User Guide Pricing Review security Talk to enterprise