This repository contains the implementation of a lane detection system using the UNet architecture. The model is trained on the BDD100K dataset, leveraging its diverse and large-scale data to ensure robust performance under various weather conditions and different times of day.

Computer vision project for ITSS

Open source training framework for vision tasks. Scales up on data and scales up on tasks. Official Implementation for https://arxiv.org/abs/2310.00920

The official code open source version of BFDA - based on YOLOv5

Image2Image Translation Research

Training FCOS on KITTI and BDD100K datasets for real-time traffic object detection with PyTorch.

A data visualization tool for the Berkley Deep Drive Dataset (available as a Plotly-Dash webapp or TKinter GUI app)

University of Bristol MEng Computer Science Dissertation and Code for 'Predicting Ego-Vehicle Speed from Monocular Dash-Cam Video in Diverse Conditions'.

Object detection model for BDD100K

Road Object Detection using Deep Learning, based on tensorflow framework and BDD100k dataset

Faster R-CNN with KITTI, BDD100k support in PyTorch 1.0

Pytorch implementation of DeepLab V3+