Power Your AI Projects With Sense Data Annotation
Accelerate your computer vision projects and eliminate labeling bottlenecks.
- Fast AI Assisted Labeling with SmartPoly
- Flexible Support for All Major Formats
- Easy Data Source Upload & Connection
- Quick Tools for Label & Project Management
Try it FREE for 30 days!
Label Your Data Better, Faster, Smarter
Data Annotation Features
A full set of features to equip all your computer vision labeling projects. Sense Data Annotation is designed to maximize productivity and scale.
Custom Label Schemas
Create label schema types for object detection, image segmentation, pose estimation, facial key points, captioning, classification & more
AI Assisted Labeling
Save time and resources by using the built in smart labeling features such as smart polygon selection, auto-labeling & label QA
Add team members, sync data across teams, manage roles, provide instructions, add comments & review labeling progress
Data Export Formats
All major computer vision label formats are available for export: COCO, YOLO, Pascal VOC & CreateML
Deploy AI Solutions In Days, Instead of Months
Coming soon, we’re excited to enhance the self-serve version with a full suite of Sense Features.
Connect and manage sensor streams & edge computing devices
Create training datasets with version control directly from sensors
Fully integrated annotation accelerates project through-put with embedded AI-assisted labeling.
Select existing models or bring you own & train from a labeled dataset
Manage edge and cloud model deployments from a single interface
Sense Data Annotation Now Includes Smart Polygon Object Selection.
Try It For Free.
Added to the full suite of labeling tools, a new feature called SmartPoly takes your labeling to the next level for convenience, speed and accuracy. When you draw a bounding box, SmartPoly automatically selects objects as a polygon with pinpoint accuracy.
Supported Label Export Formats
Sense Data Annotation supports the most common label formats for computer vision. Choose to export as COCO, Pascal VOC, YOLO, Create ML or Sense’s own JSON format.
A large-scale object detection, segmentation, and captioning dataset
Pattern Analysis, Statistical Modeling and Computational Learning Visual Object Classes
“You Only Look Once”. A popular real-time object detection algorithm
Apple’s machine learning model creation and training framework
Easy-To-Define Custom Schemas
Sense supports all major definitions used in computer vision labeling. Choose from Rectangles, Polygons, Point, Feature Points, Text, Class, or Multi-Class.
Rectangle, Polygon, and Point labels also support sub-labeling options.
Draw boxes to detect specific objects within images.
Segment objects for detection within image frames.
Label anatomical or structural points of interest within images.
Use for highly detailed detection such as emotion & body pose.
Leverage for free text production for image captions ideal for accessibility.
Designed for specific filters & image search.
Apply for multi label image classification & attribute identification.
Add sub-labels into the label definitions for rectangles, polygons, and point labels.
Sense Data Annotation makes labeling as a team easy.
Add new members, sync data sources across teams, manage roles, provide labeling instructions, add comments, review labeling progress and time spent per label.
Sync data sources across teams
Add labeling and project details
Add comments to applied labels
Track production time and progress