This repo explains the custom object detection training using Yolov8.

Circuitry.ai is an open-source tool that combines computer vision and large language models to detect, analyze, and explain electronic circuit diagrams. It leverages YOLOv8 for component detection and LLaMA 3 for generating intelligent textual explanations of how the circuit works.

Visualize the low-level outputs of YOLOv8 to analyze and understand the areas where our model focuses. Specifically, illustrate which anchor points are activated to predict bounding boxes.

An advanced computer vision system for detecting and counting pineapple blooms in drone-captured imagery. This application combines YOLOv8 object detection with explainable AI techniques to provide insights into the model's decision-making process through an intuitive Streamlit interface.

A Realtime YOLOv8 Dashboard which is built to be explainable and easy to use.

This code will explain how to deploy Yolov8 algorithm for custom dataset ASL Sign Language (Home and Love).

AI-powered web app for rapid, explainable disaster damage assessment using satellite imagery and YOLOv8

Wild-VLMDetect combines YOLOv8, CLIP, and BLIP to detect wild animals and identify injuries with prompt-based matching and captioning. Supports real-time monitoring and explainable wildlife health analysis.

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YOLOv8-based industrial defect detection with explainable AI

Developed a deep learning–based UI element detection system using YOLOv8, analyzing the impact of dataset quality on model performance. Enhanced explainability with saliency maps and Grad-CAM to provide transparent, interpretable insights into UI detection decisions.

Trypanosoma cruzi Parasite Detection with YOLOv8 and Explainable AI (XAI)

Explainable AI and YOLOv8-based Framework for Indoor Fire and Smoke Detection

Hybrid YOLOv8 + CNN based handwriting analysis system for dyslexia-related pattern detection with explainable AI

deep learning project to detect underwater debris using yolov8 and explainable AI tools (Gard-CAM,SHAP)

YOLOv8-based framework for skin lesion image classification and visual explainability.

Explains how to use the trained YoloV8 model in a python script.

Official Implementation of "Explainable YOLOv8 model for Solitary Pulmonary Nodules Classification using Positron Emission Tomography and Computed Tomography Scans"

AI-powered medical imaging platform for automated bone fracture detection in X-rays using YOLOv8 with explainable AI (Grad-CAM).

This repository store and explain how i use YOLOv8 for doing image object-based detection

This paper proposes an Explainable AI (XAI)-enhanced YOLOv8 model that combines YOLO's rapid detection capabilities with XAI-based explanation techniques.

Applied deep learning and computer vision with tools like YOLOv8 Nano, VoTT, and GradCAM to achieve explainable AI for matching hand dorsal veins.

AI-powered voice-interactive robot that uses YOLOv8, OCR, and LLMs to explain and present demos autonomously.

this notebook explains how to use yolov8 for object detection and Depth Pro model for depth estimation

“Turning computer vision into human understanding.” SceneXplain is an explainable AI project that combines YOLOv8 (for object detection) and BLIP (for image captioning) to interpret images like a human.

YOLOv8-based multi-task autonomous driving perception on BDD100K with CBAM attention for explainability (detection, drivable-area segmentation, day/night tagging)

AI-powered hybrid accident detection system using CNN pre-filtering and YOLOv8 for real-time traffic accident localization and explainability (Grad-CAM).

VisionRAG is a secure multimodal AI backend that fuses YOLOv8 object detection with retrieval‑augmented generation over your documents, delivering grounded, explainable answers to image‑based questions via a simple FastAPI/REST interface