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computer vision

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MLOps at a Reasonable Scale [The Ultimate Guide]

Jakub Czakon, 10 min
For a couple of years now, MLOps is probably the most (over)used term in the ML industry. The more models people want to deploy to production, the more they think about how to organize the Ops part of this process.  Naturally, the way to do MLOps has been shaped by the big players on the…
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Object Detection with YOLO: Hands-on Tutorial

by Anton Morgunov, 10 min read
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Building MLOps Pipeline for Computer Vision: Image Classification Task [Tutorial]

by Nilesh Barla, 17 min read
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Imbalanced Data in Object Detection Computer Vision Projects

by Tanay Agrawal, 9 min read
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Deploying Computer Vision Models: Tools & Best Practices

by Arun C John, 25 min read
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Self-Supervised Learning and Its Applications

by Deval Shah, Abhishek Jha, 12 min read
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Pix2pix: Key Model Architecture Decisions

by Nilesh Barla, 13 min read
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Deploying Your Next Image Classification on Serverless (AWS Lambda, GCP Cloud Function, Azure Automation)

by Stephen Oladele, 22 min read
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Training and Debugging Deep Convolutional Generative Adversarial Networks

by Aymane Hachcham, 9 min read
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Object Detection Algorithms and Libraries

by Bharath K, 13 min read
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Self-Driving Cars With Convolutional Neural Networks (CNN)

by Nilesh Barla, 12 min read
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15 Computer Visions Projects You Can Do Right Now

by Harshil Patel, 11 min read
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How to Choose a Loss Function For Face Recognition

by Charudatta Manwatkar, 11 min read
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