This project utilizes YOLOv8 technology to detect pedestrians using wheelchairs within a designated zone. It features a simple user interface for easy configuration of the detection area.
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Updated
Jun 1, 2024 - Python
This project utilizes YOLOv8 technology to detect pedestrians using wheelchairs within a designated zone. It features a simple user interface for easy configuration of the detection area.
A repo designed to convert audio-based "weak" labels to "strong" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!
An AI-driven solution for enhancing safety at construction sites. Utilises YOLOv8 for object detection to identify overhead hazards like heavy loads and steel pipes. Alerts are triggered if personnel are detected beneath these hazards. Dataset sourced from Taiwan's construction industry.
NVR with realtime local object detection for IP cameras
Detects the Object color using the red upper and lower values
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.
This is intended for displaying camera feed and FOMO(object detection model) results to TFT for Esp32-S3
Colorectal polyp detection in colonoscopy-video images from the SUN Dataset. Part of @mtdhuynh's Master's Thesis in Biomedical Engineering @ Politecnico di Milano, Italy.
The Image Mapper creates a flight Report of a meander drone flight
This is intended for streaming FOMO(object detection model) trained using Edge impulse results from Esp32-S3 to webserver
This repository contains code for object detection and tracking in videos using the YOLOv10 object detection model and the DeepSORT algorithm.
Video and Image Analytics for Multiple Environments
YOLIC is a real-time object detection method based on cell-wise segmentation and multi-label classification. It is designed to provide efficient and accurate object detection on low-cost devices.
🔥 High-performance TensorFlow Lite library for React Native with GPU acceleration
Driver Drowsiness Detection with YOLOv8 and Facial Features Combat driver fatigue with this deep learning-powered system that utilizes YOLOv8 to detect open and closed eyes, accurately assessing drowsiness levels.
Official implementation of the paper 'Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery'
Object and Text detection project
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
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