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Scratch Based Default ExtensionsMotionLooksSoundControlEventsSensingOperatorsMy BlocksVariablesArtificial IntelligenceFace DetectionObject DetectionHuman Body DetectionComputer VisionText RecognitionSpeech RecognitionChatGPTNatural Language ProcessingRecognition CardsText to SpeechTranslateOpen CVInnovative ExtensionsQR Code ScannerWeather DataPhysics EngineIFTTT WebhooksInternet of Things (IoT)Data LoggerMusicVideo SensingPenMachine Learning EnvironmentImage Classifier (ML)Object Detection (ML)Pose Classifier (ML)Hand Pose Classifier (ML)Audio Classifier (ML)Number Classifier and Regression (ML)Text Classifier (ML)QuarkyQuarky (Main)Display (Quarky)Robot (Quarky)Sensors (Quarky)Speaker (Quarky)Quarky Ultimate RobotsQuarky Expansion BoardMars RoverHumanoid (Quarky)Quadruped (Quarky)IoT House (Quarky)Quarky MecanumQuarky Robotic ArmDabbleQuarky Advance Line Following AI to identify objects from images. It also tells the location and size of the objects identified. Available in: Block Coding, Python Coding Mode: Stage Mode WiFi Required: No Compatible Hardware in Block Coding: evive, Quarky, Arduino Uno, Arduino Mega, Arduino Nano, ESP32, T-Watch, Boffin, micro:bit, TECbits, LEGO EV3, LEGO Boost, LEGO WeDo 2.0, Go DFA, None Compatible Hardware in Python: Quarky, None Object Declaration in Python: od = ObjectDetection() Extension Catergory: Artificial Intelligence Introduction Object detection is used to locate and identify multiple objects in digital photographs. It is a computer vision technique that helps to detect objects as well as classify them. The object class may appear once or several times in the image. For example, in the following image, object detection assists us to locate the objects and classify them accordingly to the known set of objects.One of the applications of Object detection includes Self-driving vehicles which detect objects in real-time and act accordingly.The object detection extension in PictoBlox allows you to detect the following 90 objects: IDOBJECT (PAPER)SUPER CATEGORY 1personperson 2bicyclevehicle 3carvehicle 4motorcyclevehicle 5airplanevehicle 6busvehicle 7trainvehicle 8truckvehicle 9boatvehicle 10traffic lightoutdoor 11fire hydrantoutdoor 12street signoutdoor 13stop signoutdoor 14parking meteroutdoor 15benchoutdoor 16birdanimal 17catanimal 18doganimal 19horseanimal 20sheepanimal 21cowanimal 22elephantanimal 23bearanimal 24zebraanimal 25giraffeanimal 26hataccessory 27backpackaccessory 28umbrellaaccessory 29shoeaccessory 30eye glassesaccessory 31handbagaccessory 32tieaccessory 33suitcaseaccessory 34frisbeesports 35skissports 36snowboardsports 37sports ballsports 38kitesports 39baseball batsports 40baseball glovesports 41skateboardsports 42surfboardsports 43tennis racketsports 44bottlekitchen 45platekitchen 46wine glasskitchen 47cupkitchen 48forkkitchen 49knifekitchen 50spoonkitchen 51bowlkitchen 52bananafood 53applefood 54sandwichfood 55orangefood 56broccolifood 57carrotfood 58hot dogfood 59pizzafood 60donutfood 61cakefood 62chairfurniture 63couchfurniture 64potted plantfurniture 65bedfurniture 66mirrorfurniture 67dining tablefurniture 68windowfurniture 69deskfurniture 70toiletfurniture 71doorfurniture 72tvelectronic 73laptopelectronic 74mouseelectronic 75remoteelectronic 76keyboardelectronic 77cell phoneelectronic 78microwaveappliance 79ovenappliance 80toasterappliance 81sinkappliance 82refrigeratorappliance 83blenderappliance 84bookindoor 85clockindoor 86vaseindoor 87scissorsindoor 88teddy bearindoor 89hair drierindoor 90toothbrushindoor 91hair brushindoorAccessing Object Detection in Block CodingFollowing is the process to add Object Detection capability to the PictoBlox Project.Open PictoBlox and create a new file.Select the coding environment as appropriate Coding Environment.Next, click on the Add Extension button and add the Object Detection extension.The object detection models will be downloaded, which