Computer Vision & ML Research
General Annotation for Computer Vision & AI Research Teams
Build Better AI Models with Smarter Data Labeling
JTheta.ai helps machine learning teams, startups, and researchers accelerate their computer
vision workflows by providing fast, intuitive, and accurate image annotation tools.
Whether you’re building models for object detection, segmentation, or custom CV tasks — our
platform offers flexibility, automation, and export-ready formats designed for every use case.
Common Challenges in CV & AI Research
Manual labeling is time-consuming and prone to inconsistency
Open-source tools lack collaboration and scale
No AI assistance or export flexibility in most platforms
JTheta.ai solves these with smart automation, team features, and ML compatibility.
Use Cases in Computer Vision & Research
Product recognition & retail automation
Pose estimation and activity recognition
Object detection for autonomous driving
AR/VR dataset preparation
Mobile AI (camera-based apps, real-time analysis)
Academic CV projects with COCO/YOLO training
Platform Features for AI/ML Teams
- Bounding boxes, polygons, masks, keypoints, polylines
- AI-assisted labeling to speed up manual work
- Dataset versioning and reviewer roles
- JSON, COCO, YOLO, custom schema export
- Upload from local, GDrive, S3-compatible storage
- Fully browser-based - no install required
Who It’s For?
Why CV Teams Prefer JTheta.ai
- Flexible tools for every project type
- Cut labeling time with AI help
- Collaborate, review, and iterate faster
- Clean, export-ready datasets for instant model training
Ready to Label Smarter, Not Harder?
FAQs
→ Yes. We support all major annotation types and combinations.
→ Yes. You can export annotations in YOLO, COCO, JSON, and more.
→ Yes. You can enable auto-labeling and manually refine as needed.