What is YOLO? You Only Look Once (YOLO): Unified, Real-Time Object Detection is a single-stage object detection model published at CVPR 2016, by Joseph Redmon, famous for having low latency and high ...
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Deploying a Deep Learning Model using Hugging Face Spaces and Gradio
In deep learning, training a model is not the final step. Be it image classification or object detection, a deep learning project becomes worthwhile only when it reaches the masses. That's where ...
YOLOv6 Object Detection – Paper Explanation and Inference
YOLO models have become ubiquitous in the world of deep learning, computer vision, and object detection. If you are working on object detection, then there is a high chance that you have used one of ...
Anti Spoofing Face Recognition System using OAK-D and DepthAI
In this article, we will learn the pros and cons of using Face Recognition as an authentication method. We will also see how it can be spoofed and the methods that can be used to detect the spoofing ...
Object Detection With Depth Measurement Using Pre-trained Models With OAK-D
This is the third blog post in the Oak series. If you haven't checked out the previous posts on OAK, check them below. In this post, we are going to look at how we can run an existing pre-trained ...
YOLOv5: Expert Guide to Custom Object Detection Training
In this article, we are fine tuning YOLOv5 models for custom object detection training and inference. Introduction The field of deep learning started taking off in 2012. Around that time, it ...