A Detection Toolbox for Tensorflow2

TensorFlow Lite Model Makerで物体検出を行うハンズオン用資料です(Hands-on for object detection with TensorFlow Lite Model Maker)

Implementation of deep learning method (EfficientDet) and conventional computer vision method for detecting moving objects on a trainer conveyor

Object detection examples using pre-trained models on Tensorflow Lite and OpenCV

This project builds a real-time object detection system using a Raspberry Pi and a camera. It captures live video, processes it with a TensorFlow Lite model to detect specific objects, and saves important events as video files.

An Android application which can detect and classify the types and the main ways that masks/respirators are worn by people.

Real-time bike detection and instance counting running on Raspberry Pi with Google Coral TPU.

AirLens-Vision is a high-performance, real-time object detection application powered by the MediaPipe Tasks API and OpenCV. Utilizing the EfficientDet-Lite0 model, it identifies and labels up to 80 different object categories with low latency, providing accurate bounding boxes and confidence scores directly on the live camera feed.