General Object Detector

The General Object Detector plugin allows you to detect a variety of objects on all image files in your project.

The plugin will draw a bounding box around each object type you specify, using a bounding box tool of your choice.

Plugin Functionality

Adding the plugin to your organization will allow you, with one click, to detect a variety of objects on all image (.jpg, .png) assets in the project of your choice. The plugin will draw a box around each object belonging to the categories you've selected.

The plugin will run object detection on all image assets in your project.

Currently, there is no way to only select specific assets as targets for the object detection.

Currently, the following object classes can be automatically detected:

Traffic

person

bicycle

car

motorcycle

airplane

bus

truck

train

boat

traffic light

fire hydrant

stop sign

parking meter

bench

Animals

zebra

elephant

bird

cat

dog

horse

sheep

cow

giraffe

Clothes/Accessories

backpack

umbrella

handbag

tie

suitcase

Sports

frisbee

skis

snowboard

sports ball

kite

baseball bat

baseball glove

skateboard

surfboard

tennis racket

Kitchen

wine glass

cup

fork

knife

spoon

bowl

Food

banana

apple

sandwich

orange

broccoli

carrot

hot dog

pizza

donut

cake

Home

chair

couch

potted plant

bed

dining table

toilet

tv

microwave

oven

toaster

sink

refrigerator

book

clock

vase

scissors

teddy bear

hair drier

toothbrush

Electronics

laptop

mouse

remote

keyboard

cell phone

Using the General Object Detector Plugin

From the Plugin Directory, search for General Object Detector and install the plugin to your organization. More information on installing plugins can be found in the Installing Plugins page.

The name of the plugin is General Object Detector.

Usage

First, ensure you have created at least one Bounding Box labeling tool in your project for each of the object classes you wish to detect.

Then, navigate to the project where you'd like to perform the object detection task.

Enter the Settings tab, then the Plugins section.

Find the plugin, and click on Open. A dialog will appear:

Ensure the dot before the plugin's name is green. The dot indicates the plugin's status, where green signifies the plugin's code is running, and red signifies the plugin's code is not running.

You will not be able to run plugins the code of which isn't running.

In the Class Mapping field, do the following:

  1. Open the left dropdown, and pick from one of the 80 classes the plugin can detect.

  2. Open the right dropdown, and pick from one of the Bounding Box tools you have created in your project.

  3. Click on the "plus" button to finalize the pairing. Now the object class and your bounding box tool are linked. The plugin will use the selected bounding box tool to label the selected category.

  4. Starting again from Step 1, link as many tools to categories as needed.

Click on Run. The plugin will start detecting the selected object classes in all images in your project.

You may check the progress of the conversion from the Plugin Sessions dialog. More information on checking plugin progress here.

Because the plugin first performs detection on all assets, and only then imports the tokens to Ango Hub, depending on the number and size of the assets, it may take a long time for the prelabels to appear in your project.

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