V7 Editorial TeamVideo Segmentation: Intro, Methods, TutorialDiscover various approaches and techniques used for video segmentation, and learn how to perform video segmentation with an AI tool.Mar 10, 2023Mar 10, 2023
V7 Editorial TeaminV7 LabsThe Essential Guide to Data Augmentation in Deep LearningWhat is data augmentation, how does it work, and what are its most prominent use cases? Learn everything you need to know about data…Feb 7, 2023Feb 7, 2023
V7 Editorial TeaminV7 LabsA Step-by-Step Guide to Federated Learning in Computer VisionIn this article, we’ll explore federated learning from the ground up, including its most common applications in machine learning.Feb 3, 2023Feb 3, 2023
V7 Editorial TeaminV7 LabsCross Entropy Loss: Intro, Applications, CodeLet’s dive into cross-entropy functions and discuss their applications in machine learning, particularly for classification issues.Jan 31, 2023Jan 31, 2023
V7 Editorial TeaminV7 LabsHow to Annotate Digital Pathology Images for AILet’s go through some of the best practices and challenges associated with annotating digital pathology images for AI projects.Jan 24, 2023Jan 24, 2023
V7 Editorial TeaminV7 LabsThe 5 Leading Causes of AI bias in Training DataLet’s go through 5 leading causes of errors, bias, and failure cases stemming from training data, observed across hundreds of V7 projects.Jan 19, 2023Jan 19, 2023
V7 Editorial TeamYOLO: Algorithm for Object Detection Explained [+Examples]What is YOLO architecture and how does it work? Let’s talk about YOLO algorithm versions (up to YOLO v8) and how to use them to train your…Jan 18, 20231Jan 18, 20231
V7 Editorial TeaminV7 LabsPrecision vs. Recall: Differences, Use Cases & EvaluationPrecision and recall are two measures of a machine learning model’s performance. Learn about the difference between themJan 12, 2023Jan 12, 2023
V7 Editorial TeaminV7 LabsWhat is Overfitting in Deep Learning [+10 Ways to Avoid It]What are the consequences of overfitting your model and how to mitigate the risk? Learn how to train truly robust computer vision models…Jan 10, 2023Jan 10, 2023
V7 Editorial TeaminV7 LabsConfusion Matrix: How To Use It & Interpret Results [Examples]Confusion matrix is used for evaluating the performance of a machine learning model. Learn how to interpret it to assess your model’s…Jan 5, 2023Jan 5, 2023
![YOLO: Algorithm for Object Detection Explained [+Examples]](https://miro.medium.com/v2/resize:fill:160:106/1*S-_HgBlAPrbQJaJidxdS2w.jpeg)
![YOLO: Algorithm for Object Detection Explained [+Examples]](https://miro.medium.com/v2/resize:fill:320:214/1*S-_HgBlAPrbQJaJidxdS2w.jpeg)
![What is Overfitting in Deep Learning [+10 Ways to Avoid It]](https://miro.medium.com/v2/resize:fill:160:106/1*7wJ6x8SWCcin_PP1ONpZTQ.jpeg)
![What is Overfitting in Deep Learning [+10 Ways to Avoid It]](https://miro.medium.com/v2/resize:fill:320:214/1*7wJ6x8SWCcin_PP1ONpZTQ.jpeg)
![Confusion Matrix: How To Use It & Interpret Results [Examples]](https://miro.medium.com/v2/resize:fill:160:106/1*G49K5NrtKc8f7OrbKwOfNw.png)
![Confusion Matrix: How To Use It & Interpret Results [Examples]](https://miro.medium.com/v2/resize:fill:320:214/1*G49K5NrtKc8f7OrbKwOfNw.png)
