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What is Eyewey?

Create your own models, explore a wide range of pre-trained computer vision frameworks and application templates, and learn to develop AI applications or address business challenges using computer vision within a few hours. Start by assembling a dataset for object detection by uploading relevant images, with the capacity to add up to 5,000 images to each dataset. As soon as you have uploaded your images, they will automatically commence the training process, and you will be notified when the model training is complete. Following this, you can conveniently download your model for detection tasks. Moreover, you can integrate your model with our existing application templates, enabling quick coding solutions. Our mobile application, which works on both Android and iOS devices, utilizes computer vision technology to aid individuals who are fully blind in overcoming daily obstacles. This app can notify users about hazardous objects or signs, recognize common items, read text and currency, and interpret essential situations through sophisticated deep learning methods, greatly improving the users' quality of life. By incorporating such technology, not only is independence promoted, but it also empowers people with visual impairments to engage more actively with their surroundings, fostering a stronger sense of community and connection. Ultimately, this innovation represents a significant step forward in creating inclusive solutions that cater to diverse needs.

What is Datature?

Datature is a comprehensive, no-code solution designed for computer vision and MLOps, simplifying the deep-learning workflow by empowering users to manage data, annotate images and videos, train models, evaluate performance, and deploy AI vision applications—all within a unified platform that eliminates the need for coding expertise. Its intuitive visual interface, combined with an array of workflow tools, streamlines the process of onboarding and annotating datasets, addressing tasks such as bounding box creation, segmentation, and advanced labeling, while also allowing users to establish automated training pipelines, oversee model training, and analyze performance through in-depth metrics. After the evaluation stage, models can be effortlessly deployed via API or for edge computing, ensuring they can be effectively utilized in practical situations. By striving to democratize access to AI vision, Datature not only accelerates project timelines by reducing reliance on manual coding and troubleshooting but also fosters greater collaboration among teams from various fields. Furthermore, it adeptly accommodates a wide range of applications, including object detection, classification, semantic segmentation, and video analysis, which significantly enhances its relevance and versatility in the realm of computer vision. This makes Datature an invaluable asset for organizations looking to leverage AI technology without the usual complexities associated with coding.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

$6.67 per month
Free Version

Pricing Information

Pricing not provided
Free Version

Supported Platforms

Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Eyewey

Date Founded

2017

Company Location

India

Company Website

eyewey.com

Company Facts

Organization Name

Datature

Date Founded

2020

Company Location

United States

Company Website

datature.io

Categories and Features

AI Vision Models

Not specified

Computer Vision

Not specified

Categories and Features

AI Fine-Tuning

Not specified

Computer Vision

Not specified

Data Annotation

Not specified

Data Labeling

Not specified

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