Tools for bounding box annotations

Implementation of yolo v10 in c++ std 17 over opencv and onnxruntime

Detection models and Python scripts for automated insect monitoring with the Insect Detect DIY camera trap.

Repository of the master's thesis focused on the Automatic Detection of Objects in the Track

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