MobileNets-SSD/SSDLite on VOC/BDD100K Datasets

Image2Image Translation Research

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

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

[WACV 2025] Official implementation of "RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation"

Pytorch implementation of DeepLab V3+

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.

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

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

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

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

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

Object detection model for BDD100K

This repository provides two deep learning pipelines for real-time scene analysis in Euro Truck Simulator 2. The first solution utilizes LaneNet with an ENet backbone for lane detection alongside Yolo11n for object detection. The second solution employs YOLOPv2 to simultaneously detect lanes and vehicles.

Computer vision project for ITSS

Invert BDD100K dataset to YOLO format dataset

Adjustment of model structure to Nano version, and train with BDD100k dataset.