Detect objects using ML.NET and Tiny YOLOv2 model
-
Updated
Jan 30, 2020 - C#
Detect objects using ML.NET and Tiny YOLOv2 model
Tensorrt implementation for Yolo
Extracting/loading darknet's convolutional layer parameters
TinyYoloV2 imagenet 1K results.
YOLO Augmentator
It is a object detection application which uses yolov2 and ssd_mobilenet.
A new Flutter mobile application with real-time object-detection using Tensorflow Lite.
YOLO is used in ROS. This is very easy, but the code or file needs to be changed slightly for each camera and YOLO version you use.
Mobile app to detect objects in the image using yolov2 and ssd_mobilenet models
It's a fun app for getting quotes based on the object present in the image. It uses mobilenetv1.tflite and yolov2_tiny.tflite model for object detection.
This project is a multi-AI app that features 🔢 digit recognition, 🕵️ object detection, and ⚡ real-time detection using Flutter and TensorFlow Lite.
Share photos/albums, support auto-tag by object detection, developed on .NET Core 3.1 and Angular 8.0/React 16.12, deployed on Azure/Docker
Conversion of YOLOv2_tiny from Caffe to NCNN, and tested under NCNN
Go bindings for Darknet (YOLO v4 / v7-tiny / v3)
Add a description, image, and links to the yolov2-tiny topic page so that developers can more easily learn about it.
To associate your repository with the yolov2-tiny topic, visit your repo's landing page and select "manage topics."