This project utilizes machine learning to predict extreme weather events and analyze traffic congestion in Southeast Asia. The repository includes data analysis, model training, and visualization scripts to forecast weather conditions for the next 30 days and enhance transportation efficiency.
GNU General Public License v3.0
11
stars
1
forks
source link
Do object detection on Kaggle's Car Object Detection dataset #1 #26
Create a Kaggle notebook and try to solve the Car Object Detection dataset. We are opting for Kaggle notebooks because they offer access to a free GPU, which is necessary for object detection. Later on, we can move the notebooks to Git Hub.
You can use whatever technology you wish to work with (Pytorch, Tensorflow, etc.). Take a look at other notebooks made by other people to understand how they loaded the dataset, how they loaded the bounding boxes annotations, how they loaded a pre-trained model, how they are measuring performance, etc.
Rely heavily on the work of other people. You are encouraged to try and run other people's code before trying to give it a shot on your own.
Create a Kaggle notebook and try to solve the Car Object Detection dataset. We are opting for Kaggle notebooks because they offer access to a free GPU, which is necessary for object detection. Later on, we can move the notebooks to Git Hub.
You can use whatever technology you wish to work with (Pytorch, Tensorflow, etc.). Take a look at other notebooks made by other people to understand how they loaded the dataset, how they loaded the bounding boxes annotations, how they loaded a pre-trained model, how they are measuring performance, etc.
Rely heavily on the work of other people. You are encouraged to try and run other people's code before trying to give it a shot on your own.