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High-Performance Data Annotation

Experience the Speed & Ease of AI-Powered Labeling

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  • Save time with fast AI-powered labeling
  • Utilize purpose-built labeling tools for any project
  • Collaborate with teams and manage multi-team workflows
  • Export your computer vision projects to popular formats

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Data Annotation Made Easy

1. Ingest Data

Connect to multiple sources from Amazon S3, Google Cloud Storage, or local files. Apply filters & create data subsets for projects

2. Define Labels

Configure labels for your dataset. Select from: Rectangle, Polygon, Point, Feature Points, Text, Classification

3. Label Data

Use AI-Powered tools for fast & easy smart polygon selection, frame-to-frame object tracking, & common object auto-labeling

4. Export Dataset

Export labeled data to the format you need including COCO, Pascal VOC, YOLO, CreateML, or Sense’s own flexible JSON format

Label Your Data Faster, Smarter, Better

A complete toolset equips all your computer vision labeling projects. Sense Data Annotation is designed to maximize productivity and scale.

Data Label Types

Define labels for any project: object detection, image segmentation, pose, expression, captioning, classification & more

AI-Powered Labeling

Save time & resources with smart tools for polygon selection, frame-to-frame predictive labeling, & automated object recognition

Team Collaboration

Manage multi-team workflows, sync data across teams, communicate with team members, & review labeling progress

Data Export Formats

Export your computer vision datasets to popular annotation formats: COCO, YOLO, Pascal VOC, CreateML, & Sense’s JSON format

Experience The Speed & Ease of AI-Powered Labeling

Label 10x faster with smart polygon selection, frame-to-frame predictive labeling, and automated object recognition.

SmartPoly Object Selection

Save time labeling instance segmentation by drawing a simple rectangle that resolves to an object with pinpoint accuracy.

Track Forward

Track a labeled objects from frame-to-frame to automatically apply polygons or bounding boxes.

Auto Label Images

AutoLabel

Select objects to recognize and Sense will use pre-trained models to automatically apply labels.

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

Rectangles

Draw boxes to detect specific objects within images.

Image Segmentation labeling

Polygons

Segment objects for detection within image frames.

Point

Label anatomical or structural points of interest within images.

Feature point labeling

Feature Points

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

Text

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

Classification labeling

Class

Designed for specific filters & image search.

Multi-Class labeling

Multi-Class

Apply for multi label image classification & attribute identification.

Sub-labels

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

Faster, Smarter, Better Labeling Starts With Sense

No matter the size of your labeling projects or if you’re an expert or just getting started with machine learning, Sense provides the speed, automation, and ease you need.

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