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
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
Save time & resources with smart tools for polygon selection, frame-to-frame predictive labeling, & automated object recognition
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 a labeled objects from frame-to-frame to automatically apply polygons or bounding boxes.
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.
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.
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.