Object_detection

Repository containing trained model yolo v4 tiny, which is capable of identification 80 different classes

• Default feed is set to be a computer camera
• GUI contains of 5 classes which user can choose when initialising a function

To run:

• select the 'detect' function arguments, all five should be indicated

List of classes to choose from:

• 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