diff --git a/quiz-app/src/assets/translations/en.json b/quiz-app/src/assets/translations/en.json index fcc78783..730419db 100644 --- a/quiz-app/src/assets/translations/en.json +++ b/quiz-app/src/assets/translations/en.json @@ -1423,6 +1423,202 @@ ] } ] + }, + { + "id": 29, + "title": "Lesson 15 - Train a fruit quality detector: Pre-Lecture Quiz", + "quiz": [ + { + "questionText": "Cameras can be used as IoT sensors", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "true" + }, + { + "answerText": "False", + "isCorrect": "false" + } + ] + }, + { + "questionText": "Fruit can be sorted using cameras", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "true" + }, + { + "answerText": "False", + "isCorrect": "false" + } + ] + }, + { + "questionText": "Images-based AI models are incredibly complex and time consuming to train, requiring hundreds of thousands of images:", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "false" + }, + { + "answerText": "False", + "isCorrect": "true" + } + ] + } + ] + }, + { + "id": 30, + "title": "Lesson 15 - Train a fruit quality detector: Post-Lecture Quiz", + "quiz": [ + { + "questionText": "The technique custom vision uses to train a model with only a few images is called:", + "answerOptions": [ + { + "answerText": "Transformational learning", + "isCorrect": "false" + }, + { + "answerText": "Transaction learning", + "isCorrect": "false" + }, + { + "answerText": "Transfer learning", + "isCorrect": "true" + } + ] + }, + { + "questionText": "Image classifiers can be trained using:", + "answerOptions": [ + { + "answerText": "Only 1 image per tag", + "isCorrect": "false" + }, + { + "answerText": "At least 5 images per tag", + "isCorrect": "true" + }, + { + "answerText": "At least 50 images per tag", + "isCorrect": "false" + } + ] + }, + { + "questionText": "The hardware that allows ML models to be trained quickly, as well as making the graphics on out Xbox look amazing are called:", + "answerOptions": [ + { + "answerText": "PGU", + "isCorrect": "false" + }, + { + "answerText": "GPU", + "isCorrect": "true" + }, + { + "answerText": "PUG", + "isCorrect": "false" + } + ] + } + ] + }, + { + "id": 31, + "title": "Lesson 16 - Check fruit quality from an IoT device: Pre-Lecture Quiz", + "quiz": [ + { + "questionText": "IoT devices are not powerful enough to use cameras:", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "false" + }, + { + "answerText": "False", + "isCorrect": "true" + } + ] + }, + { + "questionText": "Camera sensors use film to capture images", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "false" + }, + { + "answerText": "False", + "isCorrect": "true" + } + ] + }, + { + "questionText": "Camera sensors send which type of data", + "answerOptions": [ + { + "answerText": "Digital", + "isCorrect": "true" + }, + { + "answerText": "Analog", + "isCorrect": "false" + } + ] + } + ] + }, + { + "id": 32, + "title": "Lesson 16 - Check fruit quality from an IoT device: Post-Lecture Quiz", + "quiz": [ + { + "questionText": "A published version of a custom vision model is called an:", + "answerOptions": [ + { + "answerText": "Iteration", + "isCorrect": "true" + }, + { + "answerText": "Instance", + "isCorrect": "false" + }, + { + "answerText": "Iguana", + "isCorrect": "false" + } + ] + }, + { + "questionText": "When images are sent for classification, they then become available to retrain the model:", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "true" + }, + { + "answerText": "False", + "isCorrect": "false" + } + ] + }, + { + "questionText": "You don't need to use images captured from an IoT device to train the model as the cameras are as good quality as phone cameras:", + "answerOptions": [ + { + "answerText": "True", + "isCorrect": "false" + }, + { + "answerText": "False", + "isCorrect": "true" + } + ] + } + ] } ] }