Rushi314/GPR-Object-Detection
This repository contains code to train object detection models like FRCNN/YOLO for identifying objects in Ground Penetrating Radar scans. It also contains code to generate fake data using Generative Adversarial Networks(GANs).
This project helps ground penetrating radar (GPR) operators and analysts automatically find objects in their GPR scans. It takes GPR scan images as input and highlights detected objects (like hyperbolas) in the output. Anyone who needs to interpret GPR data for underground utility mapping, archaeological surveys, or structural inspection would find this useful.
No commits in the last 6 months.
Use this if you need to quickly and accurately identify specific features or objects within your GPR scan images, especially when manual review is too time-consuming or prone to error.
Not ideal if you're looking for a general image analysis tool for non-GPR data, or if you need to detect object types beyond what typical GPR scans reveal.
Stars
59
Forks
12
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 01, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/Rushi314/GPR-Object-Detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ultralytics/ultralytics
Ultralytics YOLO 🚀
Megvii-BaseDetection/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX,...
kujason/avod
Code for 3D object detection for autonomous driving
aparsoft/yolo-streamlit-detection-tracking
Object detection and tracking algorithm implemented for Real-Time video streams and static images.
RizwanMunawar/yolov8-object-tracking
YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics