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https://github.com/neemiasbsilva/yolov3-detect-person-car

Using YOLO (You Only Look Once) object detection algorithm to detect persons and cars.
https://github.com/neemiasbsilva/yolov3-detect-person-car

algorithm bounding-boxes cars cars-person cnn-keras computer-vision data-science deep-learning detect-car detect-person detect-persons detection-algorithm keras-tensorflow object-detection python python3 region yolo yolo3 yolov3

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Using YOLO (You Only Look Once) object detection algorithm to detect persons and cars.

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# Using YOLO (You Only Look Once) object detection algorithm to detect persons and cars


Person and cars Vereinigtes Königreich, Anthony Delanoix and Steve Long.

[![Build Status](https://travis-ci.org/keras-team/keras.svg?branch=master)](https://travis-ci.org/keras-team/keras) [![Documentation](https://img.shields.io/badge/api-reference-blue.svg)](https://www.tensorflow.org/api_docs/)

## Overview

YOLO can view an image and draw bounding over what it perceives as identified classes. We apply a single neural network to the full image. This network divedes the image into regions and predicts bounding boxes and probabilities for each region. These bounding boxes are weighted by the predicted probabilities. For more information about this algorithm, please, [click here](https://arxiv.org/abs/1804.02767).

Source code: https://github.com/xiaochus/YOLOv3.

## Experiment and Result


Result of Persons and cars Vereinigtes Königreich, Anthony Delanoix and Steve Long.

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Sincerely: Neemias B. da Silva

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