MobileNets-SSD/SSDLite on VOC/BDD100K Datasets

• UpdatedOct 22, 2024
• Python

Image2Image Translation Research

• UpdatedJan 5, 2025
• Python

My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

• UpdatedMar 16, 2021
• Jupyter Notebook

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

• UpdatedNov 30, 2019
• Python

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

• UpdatedFeb 22, 2024
• Python

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

• UpdatedFeb 17, 2025
• Python

Pytorch implementation of DeepLab V3+

• UpdatedApr 13, 2019
• Python

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.

• UpdatedJul 23, 2024
• Python

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

• UpdatedOct 18, 2022
• Python

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

• UpdatedMar 14, 2020
• Python

Code for paper: "Road object detection: a comparative study of deep learning-based algorithms"https://link.springer.com/article/10.1007/s11042-022-12447-5

• UpdatedOct 31, 2022
• Jupyter Notebook

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

• UpdatedJul 30, 2020
• Python

Perform inference with TwinLiteNet model using ONNX Runtime. TwinLiteNet is a lightweight and efficient deep learning model designed for drivable area and lane segmentation

• UpdatedNov 12, 2023
• C++

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

• UpdatedSep 27, 2023
• Python

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

• UpdatedNov 20, 2021
• Python

Object detection model for BDD100K

• UpdatedJul 8, 2020
• Python

Some benchmarks and easy-to-understand explanations for the BDD100K dataset in MaskFormer.

• UpdatedOct 27, 2021
• Jupyter Notebook

RWVC-BDD100K is a set of image-level annotations on road, weather and visibility condition for a large number of examples from the BDD100K dataset.

• UpdatedApr 17, 2021

🚗✨ BDD100K: Semantic Segmentation

• UpdatedJan 18, 2025
• HTML

An easy-to-use implementation for performing inferencing with TwinLiteNet model using OpenCV DNN module. TwinLiteNet is a lightweight and efficient deep learning model designed for drivable area and lane segmentation

• UpdatedNov 12, 2023
• C++