V7 Editorial TeamThe 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 TeamA 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 TeamCross 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 TeamHow 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 TeamThe 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 TeamPrecision 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 TeamWhat 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 TeamConfusion 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
V7 Editorial TeamHow to Use V7 Workflows to Split Large Images Into PatchesLearn how to use webhooks, V7 annotations and REST servers to split maps, aerial photos, and medical imaging into patches.Dec 22, 2022Dec 22, 2022
V7 Editorial Team5 Best Practices for Writing Annotation GuidelinesFind out how to write annotation guidelines for computer vision projects.Dec 21, 2022Dec 21, 2022
![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)
