Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Develop training datasets for computer vision models using our comprehensive management solution. We are convinced that the quality of data labeling plays a crucial role in crafting successful deep learning models. Our mission is to establish ourselves as the foremost data labeling platform in the industry, enabling businesses to fully leverage the potential of AI technology. Organize your media assets into distinct categories for better management. Highlight specific items of interest using one or multiple bounding boxes to enhance detection accuracy. Utilize bounding boxes with added precision for more detailed annotations. Provide accurate measurements of width, depth, and height for various objects. Classify every pixel in an image for fine-grained analysis. Identify and mark individual points to capture specific details within images. Annotate straight lines to assist in geometric assessments. Measure critical attributes like yaw, pitch, and roll for items of interest. Keep track of timestamps in both video and audio content for synchronization purposes. Additionally, annotate freeform lines in images to capture more complex shapes and designs, enhancing the depth of your data labeling efforts.
Description
VerifyAI is an API and mobile SDK designed for verifying photos related to micromobility parking enforcement, proof of delivery, vehicle damage assessments, rental returns, retail operations, and field-service tasks. It is compatible with platforms such as iOS, Android, React Native, and Flutter, and offers a hosted REST API along with webhooks, offline retry capabilities, customizable retention settings, encrypted uploads, and optional regional data storage. Teams can set specific policies to evaluate whether a submitted image is approved, rejected, or requires further review. The service operates on a usage-based pricing model that begins at $0.008 per verification, with no minimum usage or annual commitments required. Currently, a SOC 2 Type II audit is underway, and the platform is built on infrastructure that meets SOC 2 and ISO 27001 standards, ensuring high levels of security and compliance. This makes VerifyAI a reliable choice for organizations seeking a robust solution for photo verification across various operational needs.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Apache Atlas
Yes
Hive AutoML
Yes
Quickwork
Yes
Style Intelligence
Yes
Taxi for Email
Yes
Toad Intelligence Central
Yes
Wyn Enterprise
Yes
bipp
Yes
Integrations
Apache Atlas
No
Hive AutoML
No
Quickwork
No
Style Intelligence
No
Taxi for Email
No
Toad Intelligence Central
No
Wyn Enterprise
No
bipp
No
Pricing Details
$25 per 1,000 annotations
Free Trial
No
Free Version
No
Pricing Details
$0.008 per verification
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
No
iPad App
No
Android App
No
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
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Hive
Founded
2013
Country
United States
Website
thehive.ai/data-labeling
Vendor Details
Company Name
Switch Labs
Founded
2024
Country
United States
Website
verify.switchlabs.dev
Product Features
Computer Vision
Blob Detection & Analysis
Yes
Building Tools
Yes
Image Processing
Yes
Multiple Image Type Support
Yes
Reporting / Analytics Integration
Yes
Smart Camera Integration
Yes
Data Labeling
Human-in-the-loop
No
Labeling Automation
Yes
Labeling Quality
Yes
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
Yes
Supports Audio Files
Yes
Task Management
No
Team Collaboration
Yes
Training Data Management
No