A Detection Toolbox for Tensorflow2
TensorFlow Lite Model MakerdeWu Ti Jian Chu woXing uhanzuonYong Zi Liao desu(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.
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