Deep learning project is designed to detect small-sized rooftop photovoltaic (PV) panels using satellite imagery

Traffic Sign Detection and Warning System in real time with Custom Dataset & YOLOV8.

StreetSpecter is an innovative AI-driven solution designed to detect potholes and facilitate road maintenance.

Contribution for Traffic Sign Detection and Warning System in real time with Custom Dataset & YOLOv8.

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.

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.

solar_panel_anomalies-Yolo. This is an essay that obtains a model to detect anomalies in solar panels using the roboflow file https://universe.roboflow.com/ron-zhyan/solar-panel-anomalies-hikbk-0joqn/dataset/1 as a dataset and a training with yolov11

Custom Yolov8x-cls edge model deployment and training to classify trash vs recycling.

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

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.

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.

This project focuses on leveraging the YOLO-NAS model for Smoke Detection.

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.

This repository demonstrates how to fine-tune YOLOv11n on multiple fire detection datasets. It provides a complete pipeline for combining multiple datasets from Roboflow, training a unified model, and evaluating its performance.

How to Train YOLOv8 Instance Segmentation on a Custom Dataset

Repository documenting YOLOv5 training on Gazebo-simulated marine markers, with detailed Jupyter notebooks and stored model weights for enhanced object detection.