General Object Detector
Last updated
Last updated
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.
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
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
.
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:
Open the left dropdown, and pick from one of the 80 classes the plugin can detect.
Open the right dropdown, and pick from one of the Bounding Box tools you have created in your project.
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.
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.