Accelerating AI Development with Quality Data

Get Well-annotated & Gold Standard datasets in large volumes for effective training of your Machine Learning (ML) / Deep Learning (DL) models.

Natural Language Processing Services

Computer Vision

Explore fastest way to label data to build and train computer vision applications

Classification

Classify the images based on the objects present in it

Image Classification

Video Classification

Use Case

Goal

Challenge

Our Contribution

End Result

Train Image Classification system capable to categorize images based on the present objects in it.

Determine qualifiable video scenes and tag objects present in it (up to 10 objects per scene).

Classified 800+ images in categories like male, female, group etc.

Developed automatic video tagging and recognition application capable to extract & tag the objects present in video scenes.

Goal

Challenge

Our Contribution

End Result

Develop the visual database classification tool that can auto-classify visual datasets.

Classifying 1200+ visual datasets based on the objects present in it by utilizing US-based staff.

Classified video database of 1200+ visuals into defined categories and pre-established contract guidelines.

Developed visual database classification tool that can extract the relevant objects & classify images accordingly.

Segmentation

Get segmentation of the objects present in images into the relevant categories

Semantic Segmentation

Instance Segmentation

Use Case

Goal

Challenge

Our Contribution

End Result

Develop the AI-driven model for self-driving car using image segmentation.

Segmenting relevant objects present in 500+ images utilizing vendor’s proprietary platform.

Analysed 500+ images to segment the objects into categories: person, vehicle, traffic signs, road lanes, etc.

Client to develop autonomous driving model that can understand the objects present on road in real-life scenario.

Goal

Challenge

Our Contribution

End Result

Develop the Radiology Image Diagnosis model.

Analysing 1000+ images to segment the qualifiable regions utilizing US-based personnel.

Classified selective regions of 1000+ Radiology images to making diagnostic tests easier.

Developed model for radiology and image diagnosis meant to be used by diagnostic radiologists.

Object Detection

Detect objects present in images and videos

Facial Landmark

Geospatial Imagery

Object Tracking

Use Case

Goal

Challenge

Our Contribution

End Result

Develop the Face Detection model which can be used for multiple real-life scenarios.

Annotated the individual faces among many people present in 1500+ images.

Analysed the images and annotated faces present in those images.

Intelligent face detection enables analyzing different subjects available in the images.

Featured Customers

Empowering engineering teams to build world-leading AI products.
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Testimonials

Google, Inc.

Director

Creating clinical NLP is a critical task that requires tremendous domain expertise to solve. I can clearly see that you are several years ahead of Google in this area. I want to work with you and scale you.

Google, Inc.

Head of Engineering

My engineering team worked with shAIp’s team for 2+ years during the development of healthcare speech APIs. We have been impressed with their work done in healthcare-specific NLP and what they are able to achieve with complex datasets.

Our Capability

People

Dedicated and trained teams:

  • 7000+ collaborators for Data Creation, Labeling & QA
  • Credentialed Project Management Team
  • Experienced Product Development Team
  • Talent Pool Sourcing & Onboarding Team

Process

Highest process efficiency is assured with:

  • Robust 6 Sigma Stage Gate Process
  • Dedicated team of 6 Sigma black belts – Key process owners and Quality compliance
  • Continuous Improvement & Feedback Loop

Platform

Patented platform offers benefits:

  • Web-based end-to-end platform
  • Impeccable Quality
  • Faster TAT
  • Seamless Delivery

Learn More About shAIp Data as a service For Data Processing

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