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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.

What is Depthify?

Enhance any video or photo for optimal viewing on the Apple Vision Pro by adding depth. Initially, we utilize a monocular network that estimates the depth of each pixel at a metric level. Afterward, we transform the RGB images and corresponding depth information into a stereo format suitable for both the left and right eyes. The final step involves encoding this output into .HEIC or MV-HEVC file formats, which are compatible with devices like Apple Vision Pro and Meta Quest. Transforming standard RGB photos into immersive spatial images not only benefits end users but also serves various applications in computer vision and 3D modeling. This process facilitates the generation of stereo images, depth maps, and HEIC files tailored for Meta Quest and Apple Vision Pro. Depthify.ai efficiently processes .jpg, .png, or .mp4 files, converting them into various spatial formats for further use. The depth estimation network employed can also be visualized through a three.js browser, enabling users to project a 3D mesh onto the original image, thus enriching the viewing experience even further. This innovative approach allows creators and developers to unlock new potentials in visual storytelling and interactive content.

Media

Media

Integrations Supported

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

Integrations Supported

Quest for Business

API Availability

Has API

API Availability

Pricing Information

$25 per 1,000 annotations

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Hive

Date Founded

2013

Company Location

United States

Company Website

thehive.ai/data-labeling

Company Facts

Organization Name

Depthify

Company Website

www.depthify.ai/

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

Categories and Features

AI Tools

Not specified

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