This article aims to build an AI fitness trainer that can help you perform squats seamlessly, irrespective of whether you are a beginner or a pro. To achieve this task, we can harness the power of a ...
YOLOR – Paper Explanation & Inference – An In-Depth Analysis
In recent years, we have seen tremendous progress in the YOLO series, now hosting both anchor-free and anchor-based object detection models. Instead of focusing solely on architectural changes, YoloR ...
Performance Comparison of YOLO Object Detection Models – An Intensive Study
If you are undertaking an object detection project, the probability is high that you would choose one of the many YOLO models. Going by the number of YOLO object detection models out there, it's a ...
YOLOv6 Custom Dataset Training – Underwater Trash Detection
The field of object detection is coming across a new YOLO model release every few months. Although reading the paper should be the first step towards exploring the model, we can evaluate the model ...
t-SNE: T-Distributed Stochastic Neighbor Embedding Explained
Visualizing training data is often essential to design a good Machine Learning model. However, generally feature dimensions are much more than three. So to get visual insight, dimensionality reduction ...
YOLOv7 Pose vs MediaPipe in Human Pose Estimation
YOLOv7 Pose was introduced in the YOLOv7 repository a few days after the initial release in July ‘22. It is a single-stage, multi-person pose estimation model. YOLOv7 pose is unique, as it deviates ...
