Kentaro Wada
To provide fast, private, and simple AI-powered image annotation tools that run 100% offline, ensuring data privacy for researchers and engineers.
At a Glance
- Computer vision researchers
- Machine learning engineers
- Medical research labs
- Robotics companies
AI Tools by Kentaro Wada
(1)
LabelMe
Offline Image Annotation Tool
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Latest News
YOLO-OBB export and import in the Toolkit v0.3.0
LabelMe v6.3.1 fix for mid-shape draw mode switching
AI-assisted annotation for crowd objects without duplicates
Podcast: Geospatial annotation with LabelMe and Segment Anything
Products & Services
Free Python-based image annotation tool with 15,000+ GitHub stars.
Paid standalone desktop app with offline AI-assisted annotation using SAM2 and SAM3.
Commercial dataset creation suite with advanced tools for automation, validation, and ready-to-train exports.
Market Position
Differentiates by being 100% offline and offering a pay-once model, avoiding recurring subscription fees and ensuring data security for sensitive projects.
Leadership
Founders
Kentaro Wada
Computer Vision Sub-Lead at Mujin, Inc. (robotics startup); PhD Researcher at Imperial College London; Researcher at The University of Tokyo (JSK Robotics Lab). Creator of open-source LabelMe and gdown.
Executive Team
Kentaro Wada
Founder & Developer
Robotics and computer vision engineer with over 9 years of experience in building annotation tools. PhD from Imperial College London.
Founding Story
LabelMe was created by Kentaro Wada in 2016 while he was a student at The University of Tokyo. It was initially developed to support the JSK Robotics Lab's participation in the Amazon Picking Challenge, where robots needed to be taught to identify and pick objects in a warehouse environment.
Business Model
Revenue Model
One-time purchase license model (no subscription / pay-once)
Pricing Tiers
Image annotation app, AI annotation (SAM2, SAM3), 1 year of updates
Includes Starter plus Dataset creation toolkit (10+ tools), YOLO/VOC exports, Priority support
Includes Pro plus Lifetime free upgrades
Target Markets
- Computer vision researchers
- Machine learning engineers
- Medical research labs
- Robotics companies
- Self-driving car training data
- Medical image segmentation (pathology, radiology)
- Geospatial and satellite imagery annotation
- Industrial robotics and material picking
- 880+ paying users as of mid-2026
- Ultralytics
- Roboflow
- V7