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Picsellia

Picsellia is an end-to-end MLOps development platform for computer vision. Request your free trial here: https://bit.ly/3KSRduI

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Deep Learning

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How to Reduce Training Data with Self-Supervised Learning

Deep Neural Networks such as Deep CNNs are…

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Why Do Classical MLOps Tools Not Fit Computer Vision?

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How To Optimize Computer Vision Models For Edge Devices

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Data Versioning & Feedback Loop Best Practices in Computer Vision

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How We Built a Dataset Visual Similarity Search Feature By Using Embeddings and Qdrant

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MLOps Applied: How to Use Computer Vision in Cancer Cell Research

We casted a webinar to introduce the new version of our platform, now centered on MLOps, and more precisely, on CVOps–MLOps applied computer vision. At Picsellia, we offer an end-to-end computer vision (CV) platform…

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How to Train YOLOv5 on a Custom Dataset, Step by Step

Note: The following video was recorded on Picsellia’s previous…

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Creating a CVOps Platform: Picsellia’s Latest Release is Out!

Our Road to CVOps 🚀

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What is Data Drift and How to Detect it in Computer Vision with MLOps?

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How to Ensure Image Dataset Quality for Image Classification?