What are the must-have components of a bounding box annotation tool? Here is our list of nine essential features that any bounding box tool should offer.| www.v7labs.com
Explore 65+ best free datasets for machine learning projects. Download quality datasets for ML or NLP projects. Save time and start training your models now.| www.v7labs.com
Training data is key to success in machine learning. Learn how to select & label data for different types of tasks, such as image classification or object detection.| www.v7labs.com
In this article, we will go in-depth about the loss functions and their implementation in the PyTorch framework.| www.v7labs.com
COCO dataset is commonly used in machine learning—both for research and practical applications. Let's dive deeper into the COCO dataset and its significance for computer vision tasks.| www.v7labs.com
Bounding box annotation is the process of labeling objects in an image with rectangular boxes. Learn how to do bounding box annotation efficiently with V7.| www.v7labs.com
A guide to object detection, covering everything from the basics of the task to different approaches such as SSD and YOLO.| www.v7labs.com
Learn about the different types of neural network architectures.| www.v7labs.com
What is Mean Average Precision (mAP), how to calculate it, and why is it important for evaluating your model's performance? Read on to find out and start training your own AI models on V7 today.| www.v7labs.com
Convolutional neural networks (CNN) are particularly well-suited for image classification and object detection. Learn the basics of CNNs and how to use them.| www.v7labs.com