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Average Ratings 0 Ratings
Description
Facilitate a variety of annotation types for both images and videos through a flexible, open-source web-based tool. This tool is designed to scale and supports user-friendly “click and drag” functionalities, allowing for the addition of multiple attributes with ease. It incorporates features that enable the fitting of boundaries using Bezier curves and the ability to duplicate shared boundaries. Users can annotate the specific areas where a driver is operating and mark lane lines to enhance vision-based vehicle localization and trajectory planning. An intuitive four-click method is employed to accurately encapsulate objects of interest, while advanced algorithms predict annotations across frames by utilizing object tracking and interpolation techniques for bounding boxes. It also offers prediction capabilities for individual object instances, with 2D tracking functionalities expanded into a three-dimensional context, enhancing the overall annotation process. This comprehensive tool aims to streamline the workflow for users involved in image and video annotation tasks.
Description
swivl simplifies AI training
Data scientists spend about 80% of their time on tasks that are not value-added, such as cleaning, cleaning, and annotation data.
Our SaaS platform that doesn't require code allows teams to outsource data annotation tasks to a network of data annotators. This helps close the feedback loop cost-effectively. This includes the training, testing, deployment, and monitoring of machine learning models, with an emphasis on audio and natural language processing.
API Access
Has API
No
API Access
Has API
Yes
Integrations
SiteLink Web Edition
No
Tenant
No
storEDGE
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$149/mo/user
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Scalabel
Website
www.scalabel.ai/
Vendor Details
Company Name
Education Bot, Inc
Founded
2018
Country
Colorado
Website
tryswivl.com
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No
Product Features
Chatbot
Call to Action
Yes
Context and Coherence
Yes
Human Takeover
Yes
Inline Media / Videos
No
Machine Learning
Yes
Natural Language Processing
Yes
Payment Integration
No
Prediction
No
Ready-made Templates
Yes
Reporting / Analytics
Yes
Sentiment Analysis
Yes
Social Media Integration
No
Conversational AI
Code-free Development
Yes
Contextual Guidance
Yes
For Developers
No
Intent Recognition
Yes
Multi-Languages
Yes
Omni-Channel
Yes
On-Screen Chats
Yes
Pre-configured Bot
No
Reusable Components
Yes
Sentiment Analysis
No
Speech Recognition
No
Speech Synthesis
No
Virtual Assistant
Yes
Data Labeling
Human-in-the-loop
Yes
Labeling Automation
Yes
Labeling Quality
Yes
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No
Machine Learning
Deep Learning
No
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
Yes
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
Yes
Visualization
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
Yes
Natural Language Generation (NLG)
Yes
Open Source Integrations
Yes
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
Yes
Stemming/Lemmatization
No
Tokenization
No