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The community for AI developers sharing their passion for MLOps, machine learning, deep-learning, and data-centric AI.

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Featured Video

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See Andrew Ng’s Presentation on “MLOps: From Model-centric to Data-centric AI”

Redefining MLOps
From Model-Centric to Data-Centric AI

Better Data Drives Better Machine Vision

Re-think Machine Learning Lifecycle
with a Data-Centric Mindset

 

Ensuring consistently high quality data throughout

Improve the data over the code to get the performance you want from your learning algorithms. Better data gives you better models.

Steel Defect
Detection
Solar
Panel
Surface
Inspection
Baseline 76.2% 75.68% 85.05%
Model-Centric +0%
(76.2%)
+0.04%
(75.72%)
+0.00%
(85.05%)
Data-Centric +16.9%
(93.1%)
+3.06%
(78.74%)
+0.4%
(85.45%)

The LandingLens tool delivers an integrated end-to-end visual inspection platform that helps you prioritize the data

Scope the project

Collect data

Train the model

Deploy to Production

More on the Machine Learning Lifecycle

 

Check out our blogs below where our developers share their experience on incorporating the machine learning lifecycle.

 

Blog,

Designing Image Acquisition for Machine Vision

Blog,

Data Labeling of Images for Supervised Learning

Blog,

Boosting Model Performance Through Error Analysis

Blog,

Model Training with Machine Learning

video

Lex Fridman interviews Andrew Ng: Deep Learning, Education, and Real-World AI

Blog,

Making AI Work with Small Data

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