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What is makesense.ai?

makesense.ai is a user-friendly online platform tailored for photo labeling, allowing users to bypass any installation concerns by simply accessing the website. It aims to deliver a truly cross-platform experience, making it compatible with any operating system. This tool is especially beneficial for small-scale deep learning initiatives in the field of computer vision, greatly simplifying the dataset preparation stage. Once users finish their labeling tasks, they can conveniently download the data in various formats that are supported. Developed with TypeScript, the application employs the robust combination of React and Redux, which contributes to a seamless and productive user experience. Thanks to its intuitive interface and flexible functionality, makesense.ai serves as an invaluable asset for both researchers and developers alike. Additionally, its ease of use encourages newcomers to explore the realm of photo labeling without feeling overwhelmed.

What is Hive Data?

Create training datasets for computer vision models through our all-encompassing management solution, as we recognize that the effectiveness of data labeling is vital for developing successful deep learning applications. Our goal is to position ourselves as the leading data labeling platform within the industry, allowing enterprises to harness the full capabilities of AI technology. To facilitate better organization, categorize your media assets into clear segments. Use one or several bounding boxes to highlight specific areas of interest, thereby improving detection precision. Apply bounding boxes with greater accuracy for more thorough annotations and provide exact measurements of width, depth, and height for a variety of objects. Ensure that every pixel in an image is classified for detailed analysis, and identify individual points to capture particular details within the visuals. Annotate straight lines to aid in geometric evaluations and assess critical characteristics such as yaw, pitch, and roll for relevant items. Monitor timestamps in both video and audio materials for effective synchronization. Furthermore, include annotations of freeform lines in images to represent intricate shapes and designs, thus enriching the quality of your data labeling initiatives. By prioritizing these strategies, you'll enhance the overall effectiveness and usability of your annotated datasets.

Media

Media

Integrations Supported

Integrations Supported

Apache Atlas
Hive AutoML
Quickwork
Style Intelligence
Taxi for Email
Toad Intelligence Central
Wyn Enterprise
bipp

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$25 per 1,000 annotations

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

makesense.ai

Company Website

www.makesense.ai/

Company Facts

Organization Name

Hive

Date Founded

2013

Company Location

United States

Company Website

thehive.ai/data-labeling

Categories and Features

Image Annotation

Not specified

Categories and Features

AI Vision Models

Not specified

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Data Annotation

Not specified

Data Labeling

Labeling Automation
Labeling Quality
SDK
Supports Audio Files
Team Collaboration

Image Annotation

Not specified

Image Recognition

Not specified

Video Annotation

Not specified

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