Custom YOLO11m model for detecting and classifying car body damage (99% shattered glass, 96% flat tire detection accuracy)—optimized for high-capacity inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.

YOLO-Based Real-Time Object Detection for Autonomous Driving in CARLA

AeroDetect is a real-time object detection project that identifies drones, helicopters, and airplanes in images and videos using a custom-trained YOLOv11n model. The project includes a web interface built with FastAPI that allows users to upload media and visualize detection results instantly.

YOLO11-based model to detect and classify CT/Terrorists in CS2 gameplay. Real-time and offline detection, with custom training pipeline.

Object detection model that segments face objects of high-res MTG card scans

Dataset, and codes on the manuscript titled “Enhanced Orange Fruit Disease Detection Via An Adamax-Optimized Yolov11 Nano In Precision Agriculture”

Aiming to be a more modular YOLO training and detection script pairing. Designed for custom model development and deployment with built-in surveying / logging tools.

Useful for cardiologist and ENT field persons

The "Lockininator" - cell phone detector built using YOLOv11 and OpenCV

full code depth camera D435, realsense2, IMU

A fine tuned YOLO11 model up to 100 epochs. This custom dataset based fine tuned yolo11s is down streamed on the task of traffic signals detection in both images, videos. Furthermore, the model has been exported to the ONNX format as well. You may export it to your desired serialization format.

A Computer Vision project using YOLO11n for detecting and counting fruits and vegetables in an image or a video stream. It sends Telegram alerts if the item count drops below 5 for more than 5 seconds.

Tracks Orlando International Airport(MCO) gate 1-29 occupancy with plane detection