utttkarrsh's Stars
prashamsatalla/Underwater-image-color-enhancement-with-PSO-python-implementation
Research paper Implementation: Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm
monk-boop/CANet-on-Indian-Driving-Dataset
Building the Context aggregation network model for testing on Indian Driving Dataset
AtharvaMusale/Semantic-Segmentation-on-Indian-Driving-Dataset
anishmadan23/semantic-segmentation-indian-driving-dataset
This repository implements Semantic Segmentation of the Indian Driving Dataset. It contains two architectures to achieve this: FCN8s and SegNet.
DAYA7624/Semantic-Segmentation-on-Indian-Driving-Dataset
tharunkumarreddy/Image-segmentation-on-IDD
harishhirthi/Indian-Traffic-Segmentation
To perform Semantic(Image) Segmentation of Indian Traffic Images.
noel-robert/Road_Object_Detection_Using_DeepLearning
This project was created as part of Intel UNNATI Project. The topic of our project was "Road Object Detection Using Deep Learning".
anirudh201098/Object-detection-with-Yolo-models
This repo contains Yolo models created using the darknet framework. The four yolo versions are analysed using the PASCAL VOC dataset.
lucasjinreal/yolov7_d2
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
ayooshkathuria/pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
meituan/YOLOv6
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
abhimanyu-saxena/Vehicle-recognition-on-Indian-Roads-using-YoloV4
Custom yolov4 object detection trained for Indian Roads
ManooshSamiei/Object-Detection-Deep-Reinforcement-Learning
IshanKuchroo/IDD-Indian-Driving-Dataset
Semantic Segmentation and Object Detection for autonomous driving
shubham1810/idd3d_kit
Code and Details for IDD-3D paper accepted at WACV 2023.
mohanrajmit/IDD
Indian driving dataset using semantic segmetnation
Vicondrus/Roadster
In this project, a traffic sign recognition system, divided into two parts, is presented. The first part is based on classical image processing techniques, for traffic signs extraction out of a video, whereas the second part is based on machine learning, more explicitly, convolutional neural networks, for image labeling.
jayantchaudhary002/Teamwork-software