A Detection Toolbox for Tensorflow2

efficientdet-lite 开源项目推荐(8 个)
efficientdet-lite 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 8
GitHub 共 8 个仓库,已全部展示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
An Android application which can detect and classify the types and the main ways that masks/respirators are worn by people.
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.
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.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 8 个项目;原始页面见 https://github.com/topics/efficientdet-lite。
- 该话题在 GitHub 上共有 8 个仓库, 本站收录的是其中最热门的 8 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 8 个项目累计 86 Star,覆盖 2 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。