StreetSpecter is an innovative AI-driven solution designed to detect potholes and facilitate road maintenance.
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Updated
Aug 11, 2024 - Jupyter Notebook
StreetSpecter is an innovative AI-driven solution designed to detect potholes and facilitate road maintenance.
Traffic Sign Detection and Warning System in real time with Custom Dataset & YOLOV8.
From dataset https://universe.roboflow.com/drone-detection-pexej/drone-detection-data-set-yolov7/dataset/1# a model is obtained, based on ML (SVR), with that custom dataset, to indicate drones detection
Contribution for Traffic Sign Detection and Warning System in real time with Custom Dataset & YOLOv8.
This project focuses on leveraging the YOLO-NAS model for Smoke Detection.
Soccer analysis using YOLOv8 & Supervision ByteTrack
Fire detection using YOLOv8 involves utilizing a state-of-the-art object detection model to accurately identify fire in images or video feeds in real-time, leveraging its advanced capabilities to enhance early warning systems.
From a selection of data from the Roboflow file https://universe.roboflow.com/landy-aw2jb/fracture-ov5p1/dataset/1, which represents a reduced but homogeneous version of that file, a model is obtained based on yolov10 with that custom dataset to indicate fractures in x-rays.
A computer Vision project for avoiding potholes on road.
This project implements a YOLOv8 model to detect and classify various skin diseases from images. The model is trained on a dataset of labeled images and can identify different types of skin conditions in real-time.
From a selection of data from the Roboflow file https://universe.roboflow.com/landy-aw2jb/fracture-ov5p1/dataset/1, which represents a reduced but homogeneous version of that file, a model is obtained using an adaptation of the project https://www.kaggle.com/code/nyachhyonjinu/yolov3-test instead any yolo model
This research work introduced various aspects from dataset preparation techniques to image pre-processing, model comparison, and performance analysis on the detection & instance segmentation of three microalgae class namely Chlorella vulgaris FSP-E, Chlamydomonas reinhardtii, and Spirulina platensis.
From dataset https://universe.roboflow.com/test-svk7h/brain-tumors-detection/dataset/2 a model is obtained, based on yolov10 to indicate tumors in images of brains.
Custom Yolov8x-cls edge model deployment and training to classify trash vs recycling.
Repository documenting YOLOv5 training on Gazebo-simulated marine markers, with detailed Jupyter notebooks and stored model weights for enhanced object detection.
How to Train YOLOv8 Instance Segmentation on a Custom Dataset
From dataset https://universe.roboflow.com/roboflow-100/bone-fracture-7fylg a model is obtained, based on ML (SVR), with that custom dataset, to indicate fractures in x-rays.
From dataset https://universe.roboflow.com/drone-detection-pexej/drone-detection-data-set-yolov7/dataset/1 a model is obtained, based on yolov10 to detect drones in images. Predictions from several models are used in cascade to obtain the optimal result.
The road sign recognition system of the Russian Federation, which uses an already prepared model for object detection and image segmentation in real time to improve road safety
Final Year Project: "Wire detection using CV". Link to dataset:
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