Hello guys! Let us look at how we can build a real-time social distance detector using computer vision
The first and the most important task we need to carry out is object detection. To accomplish object detection, we are going to use a state of the art model named YOLO.
Welcome to this article where we are going to implement a color detector system.
We need to perform the following.
1. Object Detection in the image using YOLOv3 model (Transfer Learning)
2. Use K-means Clustering to state the dominant colours present in the object.
YOLO stands for ‘You…
By: Ojas Agrawal | IIT Kharagpur
Here, I present you my approach to tackle bike sharing demand prediction using regression analysis. The dataset for this is available on kaggle. To see the problem description, click here.
The script deals mainly with handling of ‘date-time’ object, filling of missing value and data visualization & interpretation.
By: Bhargav Dindukurthi | 2nd Year Undergraduate | IIT Kharagpur
Titanic was a British passenger liner that sank in the North Atlantic Ocean in the early morning hours of 15 April, 1912 after it collided with an iceberg during its maiden voyage. Here, I present you the solution of a classical classification problem which will predict who will be likely to survive if a similar disaster takes place (hypothetically speaking).
I have extensively focused on the feature engineering and interpretation and importance of different feature which leads to survival of passenger.
After that, I have applied different classification algorithms on the cleaned dataset to get an idea which one works best with this dataset.
Go through the script below to get more insight. The link to overview of problem and data set is here.