bdd100k

There are 1 repository under bdd100k topic.

• tranleanh / mobilenets-ssd-pytorch

  MobileNets-SSD/SSDLite on VOC/BDD100K Datasets

  object-detectionmobilenetv2mobilenetv2-ssdssdbdd100kmobilenet-ssdpytorchvoc
  Language:Python 114
• day2night

  solesensei / day2night

  Image2Image Translation Research

  nexetbdd100kday2nightimage-translationresearchimage2imageunitcycleganunsupervised-learning
  Language:Python 94

• 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.

  computer-sciencecomputer-visionmachine-learningdeep-learningpythonjupyter-notebookpytorchnumpycnnobject-detectionyolofaster-rcnnberkeley-deep-drivebdd100k
  Language:Jupyter Notebook 84

• SonyResearch / RAW-Diffusion

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

  diffusion-modelsguided-diffusionobject-detectionraw-imageswacv2025few-shot-learningbdd100kcityscapesnodfivekinverse-isp
  Language:Python 41

• haofengac / faster-rcnn-KITTI-BDD100K

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

  bdd100kdetectionfaster-rcnnkittikitti-datasetobject-detectionpytorch
  Language:Python 37

• 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

  3d-object-detectionbdd100kcityscapeskittimonodepthnuscenesobject-detection
  Language:Python 37

• f1recracker / pytorch-deeplab-v3-plus

  Pytorch implementation of DeepLab V3+

  bdd100kdeeplab-v3-pluspytorchsemantic-segmentationxception
  Language:Python 13

• 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.

  bdd100klane-detectionopencvpytorchtorchvisionunet-image-segmentationadasautonomous-drivingdeep-learningmachine-learningself-driving-car
  Language:Python 12

• 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

  deep-learningautonomous-drivingr-fcnmask-rcnnssdretinanetyolov4object-detectioncomparative-studymosaic-data-augmentationtensorflowcaffebdd100k
  Language:Jupyter Notebook 8

• chenzpstar / FCOS-Traffic-Object-Detection

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

  bdd100kfcoskittiobject-detectionpytorchtraffic-object-detection
  Language:Python 8

• 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

  drivable-area-segmentationlane-detectiononnxruntimeonnxruntime-gputwinlitenetbdd100ksegmentation
  Language:C++ 8

• 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'.

  deep-lepytorchcomputer-visionspeed-estimationdash-cambdd100k
  Language:Python 8

• TilakD / 2D-Road-Object-Detection

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

  object-detectiontensorflowbddbdd100kcomputer-vision
  Language:Python 8

• caiyancheng / BFDA

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

  cross-domaindeeplearningdomain-adaptationdomain-adaptation-object-detectionobject-detectionpedestrian-detectionpytorchbdd100kcaltech-pedestrian-datasetcityscapes-datasetyolov5
  Language:Python 5
• bdd100k_visualize

  doronser / bdd100k_visualize

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

  bdd100kplotly-dashtkinter-pythondata-visualization
  Language:Python 4

• YoungYoung619 / road-object-detection-for-bdd100k

  Object detection model for BDD100K

  detectioncnntensorflowautonomous-drivingperceptionbdd100k
  Language:Python 4

• Keiku / MaskFormer-BDD100K

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

  bdd100kdetectron2segmentation
  Language:Jupyter Notebook 3

• 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.

  autonomous-drivingbdd100kcomputer-visiondatasetroad-conditionweather
  2

• 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

  cppdrivable-area-segmentationlane-detectiononnx-modelsopencvopencv-dnntwinlitenetbdd100ksegmentation
  Language:C++ 2

• 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.

  bdd100kculaneenetets2euro-truck-simulator-2lane-detectionopencvtusimpleyolopv2
  Language:Python 1

• okaynils / fhnw-ds-dlbs

  🚗✨ BDD100K: Semantic Segmentation

  bdd100kdeep-learningsemantic-segmentation
  Language:HTML 1

• AbdulrhmnGhanem / bdd100k-trajectories

  Generating uniform trajectories (displacement wise) 🛣️ from the BDD100k dataset.

  datasetbdd100k
  Language:Jupyter Notebook 0

• aicv-perception / BDD100K-YOLOv7-Nano

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

  bdd100kyoloyolov7yolov7-nanopythonpytorch
  Language:Python 0

• littlTom / bdd100_to_yolo

  Invert BDD100K dataset to YOLO format dataset

  bdd100kdatasetlabeling-toolyolo
  Language:Python 0

• pipixiangz / Hawkeye-ITSS

  Computer vision project for ITSS

  artificial-intelligencebdd100kcomputer-visionyoloai
  Language:Python 0

• ppswaroopa / Lane-Detection-In-Foggy-Weather

  Project work part of Deep Learning Course at Clemson University.

  bdd100kdeep-learninglane-detectionopencv
  Language:Jupyter Notebook 0

• nick8592 / vehicle-distance-measurement

  A toolset for converting BDD100K annotations to custom formats, calculating object distances in images.

  adaptive-cruise-controladasbdd100kdepth-estimationmonocular-depth-estimation
  Language:C++