🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!
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Updated
Sep 12, 2021 - Python
🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!
A brand logo detection system using tensorflow object detection API.
🖖 Train an artificial intelligence to play tinder for you
Tensorflow 2 Object Detection API Tutorial. This tutorial will take you from installation, to running pre-trained detection model, and training your model with a custom dataset, then exporting it for inference.
This is the code for Medium tutorial
Cumulative object counting with Tensorflow 2
Open Toolkit for Painless Object Detection
Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. Run on Jetson TX2
Generate TFRecord for images downloaded using EscVM/OIDv4_ToolKit
Tensorflow2 Object Detection APIのハンズオン用資料です(Hands-on documentation for the Tensorflow2 Object Detection API)
American Sign Language Detection Android App using SSD_Mobilenet | Google Colab
Tensorflow 2 Object Detection API kurulumu, GPU desteği, custom model hazırlama, label map oluşturma
Deep learning based text detection and recognition using tensorflow
Face recognition using Tensorflow
Custom keypoint detection using Tensorflow object detection API
A guide to building your own Object Detection Model using Tensorflow 2.0. We build a Face Mask Detector for the purpose of tutorial.
YOLO Object Detection using Python, OpenCV and cvlib
This is an Object Detection Web App built using Flask. It is developed using OpenCV4.4.0 by re-using a pre-trained TensorFlow Object Detection Model API trained on the COCO dataset.
Bachelor-thesis on the topic "Machine Learning Based Autonomous Robot With NVIDIA Jetson Nano"
This repository contains a notebook for object detection with the help of fine tuning of a (TF2 friendly) RetinaNet architecture on very few examples of a novel class after initializing from a pre-trained COCO checkpoint. Training runs in eager mode.
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