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Object Detection is MACHINE LEARNING PROJECTS used for the real-time operation which can process images and videos to identify objects, faces. This Project focuses on detecting objects.

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Detect an object with OpenCV-Python

JKL404

Build Status

OpenCV is the huge open-source library for computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today’s systems. By using it, one can process images and videos to identify objects, faces, or even the handwriting of a human. This Project focuses on detecting objects. Object Detection

Features

  • Use machine learning to understand your images with industry-leading prediction accuracy
  • Train machine learning models that classify images by your custom labels
  • Detect objects and faces

Installation

Object Detection

Install the dependencies and devDependencies and start the server.

pip install flask, python, opencv-python, numpy, matplotlib
python main.py

Verify the deployment by navigating to your server address in your preferred browser.

127.0.0.1:8000

DEMO

Demo Link

Image 1

Image 2

Image 3

Image 4

Object List

person

bicycle

car

motorbike

aeroplane

bus

train

truck

boat

traffic light

fire hydrant

stop sign

parking meter

bench

bird

cat

dog

horse

sheep

cow

elephant

bear

zebra

giraffe

backpack

umbrella

handbag

tie

suitcase

frisbee

skis

snowboard

sports ball

kite

baseball bat

baseball glove

skateboard

surfboard

tennis racket

bottle

wine glass

cup

fork

knife

spoon

bowl

banana

apple

sandwich

orange

broccoli

carrot

hot dog

pizza

donut

cake

chair

sofa

pottedplant

bed

diningtable

toilet

tvmonitor

laptop

mouse

remote

keyboard

cell phone

microwave

oven

toaster

sink

refrigerator

book

clock

vase

scissors

teddy bear

hair drier

toothbrush

License

MIT

Free Software, Hell Yeah!

About

Object Detection is MACHINE LEARNING PROJECTS used for the real-time operation which can process images and videos to identify objects, faces. This Project focuses on detecting objects.

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