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 ...
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 ...
YOLOX Object Detector Paper Explanation and Custom Training
What is YOLOX? YOLOX is a single-stage real-time object detector. It was introduced in the paper YOLOX: Exceeding YOLO Series in 2021. The baseline model of YOLOX is YOLOv3 SPP with Darknet53 ...
