Computer vision
Unlock the potential of computer vision
What is computer vision?

Computer vision is an advanced form of machine learning that uses algorithms to analyze, interpret, and understand visual data such as images and videos. Using computer vision, businesses can streamline operations, enhance customer experience, and automate routine tasks for increased efficiency and  profitability.

Tribe helps companies identify use cases for computer vision, select the right models, prepare data, develop custom solutions, and provide ongoing support.

How Tribe used computer vision to build the world's fastest estimating takeoff software

Learn how Tribe empowered non-technical leadership to execute on a strategic technical vision and disrupt the $1.3 trillion construction industry.
Read more

Recent projects

Active

Enabled cashierless retail experiences for leading chain

This is some text inside of a div block.
+1
Active

Built automated takeoff software for construction startup

This is some text inside of a div block.
+9
Active

Improved performance of point cloud object detection model

This is some text inside of a div block.
+1
Active

Improved performance of x-ray diagnostic model by 30%

This is some text inside of a div block.
+1

How Tribe can help

Object detection
Semantic segmentation
Point cloud
Multi-modal computer vision

Object detection

By identifying and localizing objects within an image or video feed, object detection can automate quality control, monitor inventory, and detect anomalies or defects in products, making it particularly useful for industries like retail and manufacturing.

Semantic segmentation

Dividing an image into regions and assigning each region a semantic label helps identify specific areas of interest, making it especially useful for industries such as healthcare and agriculture where it can help diagnose and treat patients or monitor crop growth and identify pests.

Point cloud

Combining multiple data types to gain a comprehensive understanding of a situation, multi-modal computer vision can be used to analyze traffic patterns, optimize routes, and monitor public spaces for security, making it useful for industries such as transportation and security.

Multi-modal computer vision

Combining multiple data types to gain a comprehensive understanding of a situation, multi-modal computer vision can be used to analyze traffic patterns, optimize routes, and monitor public spaces for security, making it useful for industries such as transportation and security.
Work with the best talent in AI
Computer Vision Engineer
Ameer
PREVIOUSLY:

Worked at Apple and Nasa

Intelligent Perception, Robotics, Computer Vision
Intelligent Perception
Robotics
Computer Vision
AI Researcher
Jeff
PREVIOUSLY:

AI and research at Meta,
‍Allen AI, and Palantir

‍

CV, NLP, ML Engineer
CV
NLP
ML Engineer
ML Engineer
Paige
PREVIOUSLY:

Software Engineering at Google‍

Linguistics at UCLA

NLP, CV, Linguistics
NLP
CV
Linguistics
Senior Data Scientist
Kineret
PREVIOUSLY:

Data at Google‍

Launched Apple card at Apple

Data infra, Deep learning
Data infra
Deep learning
Research Engineer
Seraphina
PREVIOUSLY:

Researcher at University of Edinburgh

Product at Google

AI Fairness, Interpretability, NLP
AI Fairness
Interpretability
NLP
Full-stack Engineer
Richard
PREVIOUSLY:

Engineer at RBC

ML scientist at Arterys medical

Neural networks, Data eng, Recommendations
Neural networks
Data eng
Recommendations
Senior ML Engineer
Adrian
PREVIOUSLY:

First employee at Weights & Biases,

Worked at Google

Data Science, NLP, Computer Vision
Data Science
NLP
Computer Vision
ML and Software Engineer
Jorg
PREVIOUSLY:

Worked for Google Brain

and Facebook AI Research

Neural Networks, Computer Vision, Transformers
Neural Networks
Computer Vision
Transformers
Computer Vision Engineer
Ameer
PREVIOUSLY:

Worked at Apple and Nasa

Intelligent Perception, Robotics, Computer Vision
Intelligent Perception
Robotics
Computer Vision
AI Researcher
Jeff
PREVIOUSLY:

AI and research at Meta,
‍Allen AI, and Palantir

‍

CV, NLP, ML Engineer
CV
NLP
ML Engineer
ML Engineer
Paige
PREVIOUSLY:

Software Engineering at Google‍

Linguistics at UCLA

NLP, CV, Linguistics
NLP
CV
Linguistics
Senior Data Scientist
Kineret
PREVIOUSLY:

Data at Google‍

Launched Apple card at Apple

Data infra, Deep learning
Data infra
Deep learning
Research Engineer
Seraphina
PREVIOUSLY:

Researcher at University of Edinburgh

Product at Google

AI Fairness, Interpretability, NLP
AI Fairness
Interpretability
NLP
Full-stack Engineer
Richard
PREVIOUSLY:

Engineer at RBC

ML scientist at Arterys medical

Neural networks, Data eng, Recommendations
Neural networks
Data eng
Recommendations
Senior ML Engineer
Adrian
PREVIOUSLY:

First employee at Weights & Biases,

Worked at Google

Data Science, NLP, Computer Vision
Data Science
NLP
Computer Vision
ML and Software Engineer
Jorg
PREVIOUSLY:

Worked for Google Brain

and Facebook AI Research

Neural Networks, Computer Vision, Transformers
Neural Networks
Computer Vision
Transformers

Trusted by top executives

Tribe’s research, strategy, and architecture enabled us to leverage cutting edge computer vision at scale in an entirely new way.
Head of Innovation
Valora

Find the right AI experts for you

Start building
AWS ConsultingCareersTerms & ConditionsPrivacy Policy