hello text object detection using tensorlfow object detection api

Object detector to detect free and occupied bagchairs in an image or video for sandbags monitor project.

TF Object Detection API with simultaneous validation & more validation metrics!

Train your object detector without fighting with tools!

Detects objects in the video file/camera using tensorflow object detection api

This is a play code for me to get acquainted with tensorflow object detection api

Solving computer generated image captcha using tensorflow object detection api.

Face mask detection based on tensorflow 2 object detection API using Efficientdet-D1 model. This project can perform face mask detection on images as well as videos.

A Flask application made using a custom trained Tensorflow Object Detection machine learning model in order to predict whether a person has a mask on or not.

A template for delpoy AI server use django with tf_serving or triton_inference_serving

Retraining a TensorFlow object detection model to look for squirrels.

Otomobil tespit etmek için Tensorflow Object Detection Api'si ile geliştirilmiş Convolutional Neural Network(CNN) sınıflandırıcısı.

This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.

Implementing a remote sensing object detector using Tensorflow object detection API

基于 TensorFlow 物体检测 API 的柔性对象识别系统

License Plate Detection and OCR

DeepEye is a surveillance application leveraging the current sate of art deep learning and computer vision techniques. Current back-end framework uses Google Object Detection Api for object detection and tracking. It is open-source and feel free to modify for your own usage.

Course Submission Material for Resnet based object detection for Udacity Self Driving NanoDegree.

Tensorflow 2 Object Detection API kurulumu, GPU desteği, custom model hazırlama, label map oluşturma

Android camera app for automatic recognition of German license plates using TensorFlow / TensorFlow Lite 2.4.1