SmartPoly Object Selection
Save time labeling polygons for instance segmentation by drawing a simple rectangle that resolves to an object.
Track a labeled objects from frame-to-frame to automatically apply polygons or bounding boxes.
AutoLabel Common Classes
Select common objects to recognize and Sense will use pre-trained models to automatically apply labels.
Label Your Data Faster, Smarter, Better
A full set of features to equip all your computer vision labeling projects. Sense Data Annotation is designed to maximize productivity and scale.
1. Ingest Data
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 Datasets
Export labeled data to the format you need including COCO, Pascal VOC, YOLO, Create ML, or Sense’s own flexible JSON format
Sixgill is Trusted by Industry Leaders & Innovators:
Flexible Label Types
Sense supports all major definitions used in computer vision labeling. Choose from Rectangles, Polygons, Point, Feature Points, Text, Class, or Multi-Class.
Draw boxes to detect specific objects within images.
Segment objects for detection within image frames.
Use for highly detailed detection such as emotion & body pose.
Leverage for free text production for image captions ideal for accessibility.
Apply for image classification & attribute identification.
Add sub-labels into the label definitions for rectangles, polygons, and point labels.
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
Sense’s format is a schema defined JSON document containing all Sense label elements. Sense also includes metadata about the image and source video if applicable.
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
Approve or reject labels & track progress
Data Source Connections
Connect both local storage and remote data sources to projects.
Supported image formats: JPG, PNG, GIF, BMP, TIFF, WEBP
Supported video formats from S3 & GCS : AVI, FLV, MKV, MOV, MP4, OGG, WEBM
Connect an Amazon S3 bucket
Google Cloud Storage
Connect a GCP bucket
Upload files for labeling
Use a CSV file to upload assets
Get Started for FREE
No matter the size of your labeling projects, if you’re an expert, or just getting started with machine learning, Sense provides the speed, automation, and ease you need.