π€ AI Assistant for Automatic Annotation
Chat with AI to automatically annotate images using natural language.
Use natural language to describe what to label and let AI create annotations automatically.
Features
Features
Explore TjMakeBot capabilities for 2D annotation, 3D point clouds, 6D object pose datasets, quality checks, cloud training, and export.
6D object pose annotation for embodied AI datasets3D point cloud annotation and multi-view reviewReusable model assets for projection-aware pose labels6D Pose JSON and BOP export for downstream training
All Features
Discover TjMakeBot features across 2D/3D annotation, 6D Pose datasets, model assets, quality checks, training, export, and workflow control.
π§ 6D Object Pose Annotation
Create object pose labels with translation, rotation, scale, camera intrinsics, and projected 2D previews.
Use the 6D Pose mode for robotics and embodied AI datasets where each object needs a usable 3D pose instead of only a 2D box.
Edit translation, rotation, scale, and camera parameters
Preview the projected cuboid directly on the image
Drag the projection to adjust object placement
π― Multiple Annotation Types
Support for bounding boxes, polygons, OBB, keypoints, 3D point clouds, and 6D object pose annotations.
Use the right annotation type for detection, segmentation, rotated objects, keypoint tasks, point clouds, and object pose datasets.
𧩠Model Asset Management for 6D Pose
Upload and reuse GLB/GLTF model assets so pose labels can reference real object geometry.
Bind model asset keys to labels, reuse assets across objects, and keep pose export metadata aligned with downstream tooling.
Upload GLB or GLTF assets
Assign model assets to labels and objects
Keep model keys in saved and exported datasets
Connected platform capabilities
Review, dataset versions, training handoff, and delivery work together so teams can move from single tasks to repeatable production.
Review and QA operations
Move from isolated annotation actions into shared review routing, issue handling, and delivery checkpoints.
Dataset versions and release delivery
Connect approved output to dataset versions, training results, and customer handoff.
Enterprise security and deployment
Use the platform to manage permissions, audit requirements, and deployment planning.
Automation and integration
Integrate automation, API access, and review processes into one platform.
Features
When to move into a full workflow
The team needs review routing, issue tracking, and handoff instead of solo annotation only.
The buyer asks which dataset version is behind training and delivery.
Procurement starts asking about deployment, audit scope, or permission boundaries.
Rollout requires API access or automation planning.
π¦ Multi-Format Model Export
Export trained models to PyTorch, ONNX, TensorRT, CoreML, TFLite, OpenVINO, NCNN, and more.
βοΈ Cloud YOLO Model Training
Train YOLO models in the cloud with GPU acceleration.
π 3D Point Cloud Annotation (PCD/PLY)
Annotate LiDAR and point cloud data with 3D bounding boxes directly in the browser. Supports PCD and PLY files.
Import PCD and PLY point cloud files
Draw and edit 3D bounding boxes
BEV / Front / Side multi-view support
W/E/R transform controls (move/rotate/scale)
Export KITTI-compatible 3D labels
β 6D Pose Quality Checks
Catch missing model assets, invalid depth, duplicate object IDs, camera issues, and invisible projections before export.
Validate model asset keys and object IDs
Check depth, scale, rotation, and intrinsics
Block export when pose errors need attention
ποΈ 6D Pose JSON and BOP Export
Export pose datasets with annotations_pose6d.json, quality_report.json, and BOP-style scene files.
Export annotations_pose6d.json and quality_report.json
Include BOP scene camera and object pose files
Carry project config, camera intrinsics, and model asset keys
ποΈ Multiple Annotation Formats
Support for YOLO, Pascal VOC, COCO, and CSV formats.
π¬ Video to Frames Decoder
Extract frames from videos at custom FPS for dataset creation.
β‘ Batch Object Detection
Use trained models to automatically detect objects across multiple images.
π Multilingual Support
Interface available in multiple languages.
π±οΈ Trackpad Optimization
Optimized zoom and pan controls for trackpad users.
πΌοΈ High-Resolution Image Support
Handle high-resolution images efficiently.
π Free to Use
Core features are completely free and run directly in your browser.
Explore the platform in depth
Ready to go deeper? Explore 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 βDataset versions
Dataset Versions
Turn datasets into release assets with version freezes, handoff history, and reproducible training.
View versions page βQuality control
Quality Control
Bring spot checks, review loops, rework, and acceptance gates into the platform.
View quality page βTeam production
Team Production
Run team-scale data production with shared workspace, role routing, and throughput visibility.
View team page βDiscover TjMakeBot features across 2D/3D annotation, 6D Pose datasets, model assets, quality checks, training, export, and workflow control.
Built-in AI Assistant for auto annotation via chat
Cloud YOLO model training with GPU acceleration
Multi-format model export
6D Pose quality checks before dataset export
Complete platform: dataset versions, release delivery, and lineage tracking
Integrated review, issue handling, and delivery handoff in one workspace
Download entry, handoff link, and shareable summary page
Secure access controls and data protection for enterprise teams.
Decode video to frames and annotate directly
Apply AI annotations to all images at once
YOLO/VOC/COCO/CSV import and export
Load trained model for batch detection and validation
Import existing annotations for review and validation
Features
Need enterprise rollout or integration planning?
Visit Pricing and Security pages when evaluating review governance, deployment options, audit scope, or API access.