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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

Team Collaboration

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.

Device Management

Connect and manage sensor streams & edge computing devices

Data Collection

Create training datasets with version control directly from sensors

Custom Label Schemas for computer vision

Data Annotation

Fully integrated annotation accelerates project through-put with embedded AI-assisted labeling.

Machine Learning

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

VOC Pascal Data Support

Pascal VOC

Pattern Analysis, Statistical Modeling and Computational Learning Visual Object Classes

YOLO Dataset Support


“You Only Look Once”. A popular real-time object detection algorithm

Create ML Support

Create ML

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.

object detection labeling


Draw boxes to detect specific objects within images.

Image Segmentation labeling


Segment objects for detection within image frames.


Label anatomical or structural points of interest within images.

Feature point labeling

Feature Points

Use for highly detailed detection such as emotion & body pose.


Leverage for free text production for image captions ideal for accessibility.

Classification labeling


Designed for specific filters & image search.

Multi-Class labeling


Apply for multi label image classification & attribute identification.


Add sub-labels into the label definitions for rectangles, polygons, and point labels.

Team Collaboration

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. 

Cloud Sync

Sync data sources across teams


Add labeling and project details 


Add comments to applied labels


Track production time and progress