bdd100k
There are 26 repositories under bdd100k topic.
tranleanh/mobilenets-ssd-pytorch
MobileNets-SSD/SSDLite on VOC/BDD100K Datasets
solesensei/day2night
Image2Image Translation Research
alen-smajic/Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
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.
haofengac/faster-rcnn-KITTI-BDD100K
Faster R-CNN with KITTI, BDD100k support in PyTorch 1.0
Owen-Liuyuxuan/visionfactory
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
SonyResearch/RAW-Diffusion
[WACV 2025] Official implementation of "RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation"
f1recracker/pytorch-deeplab-v3-plus
Pytorch implementation of DeepLab V3+
AnshChoudhary/Lane-Detection-UNet
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.
bharatmahaur/ComparativeStudy
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
chenzpstar/FCOS-Traffic-Object-Detection
Training FCOS on KITTI and BDD100K datasets for real-time traffic object detection with PyTorch.
SSutherlandDeeBristol/speed-detection
University of Bristol MEng Computer Science Dissertation and Code for 'Predicting Ego-Vehicle Speed from Monocular Dash-Cam Video in Diverse Conditions'.
TilakD/2D-Road-Object-Detection
Road Object Detection using Deep Learning, based on tensorflow framework and BDD100k dataset
harrylal/TwinLiteNet-onnxruntime
Perform inference with TwinLiteNet model using ONNX Runtime. TwinLiteNet is a lightweight and efficient deep learning model designed for drivable area and lane segmentation
caiyancheng/BFDA
The official code open source version of BFDA - based on YOLOv5
doronser/bdd100k_visualize
A data visualization tool for the Berkley Deep Drive Dataset (available as a Plotly-Dash webapp or TKinter GUI app)
YoungYoung619/road-object-detection-for-bdd100k
Object detection model for BDD100K
Keiku/MaskFormer-BDD100K
Some benchmarks and easy-to-understand explanations for the BDD100K dataset in MaskFormer.
enricivi/RWVC-BDD100K
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.
harrylal/TwinLiteNet-onnx-opencv-dnn
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
okaynils/fhnw-ds-dlbs
🚗✨ BDD100K: Semantic Segmentation
AkramOM606/Lane-Detection-ETS2
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.
AbdulrhmnGhanem/bdd100k-trajectories
Generating uniform trajectories (displacement wise) 🛣️ from the BDD100k dataset.
aicv-perception/BDD100K-YOLOv7-Nano
Adjustment of model structure to Nano version, and train with BDD100k dataset.
littlTom/bdd100_to_yolo
Invert BDD100K dataset to YOLO format dataset
pipixiangz/Hawkeye-ITSS
Computer vision project for ITSS
ppswaroopa/Lane-Detection-In-Foggy-Weather
Project work part of Deep Learning Course at Clemson University.