microsoft/AI-For-Beginners
Publicmirrored fromhttps://github.com/microsoft/AI-For-BeginnersAvailable
etc/quiz-app/src/assets/translations/en/lesson-11.json
119lines · modecode
| 1 | [ |
| 2 | { |
| 3 | "title": "AI for Beginners: Quizzes", |
| 4 | "complete": "Congratulations, you completed the quiz!", |
| 5 | "error": "Sorry, try again", |
| 6 | "quizzes": [ |
| 7 | { |
| 8 | "id": 111, |
| 9 | "title": "Object Detection: Pre Quiz", |
| 10 | "quiz": [ |
| 11 | { |
| 12 | "questionText": "Neural networks can only be used to classify images", |
| 13 | "answerOptions": [ |
| 14 | { |
| 15 | "answerText": "true", |
| 16 | "isCorrect": false |
| 17 | }, |
| 18 | { |
| 19 | "answerText": "false", |
| 20 | "isCorrect": true |
| 21 | } |
| 22 | ] |
| 23 | }, |
| 24 | { |
| 25 | "questionText": "With object detection, we don't just get class of an object, but also it's ____", |
| 26 | "answerOptions": [ |
| 27 | { |
| 28 | "answerText": "shape", |
| 29 | "isCorrect": false |
| 30 | }, |
| 31 | { |
| 32 | "answerText": "location", |
| 33 | "isCorrect": true |
| 34 | }, |
| 35 | { |
| 36 | "answerText": "type", |
| 37 | "isCorrect": false |
| 38 | } |
| 39 | ] |
| 40 | }, |
| 41 | { |
| 42 | "questionText": "How many objects can an object detection model can detect?", |
| 43 | "answerOptions": [ |
| 44 | { |
| 45 | "answerText": "one", |
| 46 | "isCorrect": false |
| 47 | }, |
| 48 | { |
| 49 | "answerText": "two", |
| 50 | "isCorrect": false |
| 51 | }, |
| 52 | { |
| 53 | "answerText": "any number", |
| 54 | "isCorrect": true |
| 55 | } |
| 56 | ] |
| 57 | } |
| 58 | ] |
| 59 | }, |
| 60 | { |
| 61 | "id": 211, |
| 62 | "title": "Object Detection: Post Quiz", |
| 63 | "quiz": [ |
| 64 | { |
| 65 | "questionText": "Object detection model give us", |
| 66 | "answerOptions": [ |
| 67 | { |
| 68 | "answerText": "object class", |
| 69 | "isCorrect": false |
| 70 | }, |
| 71 | { |
| 72 | "answerText": "bounding box", |
| 73 | "isCorrect": false |
| 74 | }, |
| 75 | { |
| 76 | "answerText": "both class and bounding box", |
| 77 | "isCorrect": true |
| 78 | } |
| 79 | ] |
| 80 | }, |
| 81 | { |
| 82 | "questionText": "Which object detection models are faster?", |
| 83 | "answerOptions": [ |
| 84 | { |
| 85 | "answerText": "one-pass models", |
| 86 | "isCorrect": true |
| 87 | }, |
| 88 | { |
| 89 | "answerText": "region proposal networks", |
| 90 | "isCorrect": false |
| 91 | }, |
| 92 | { |
| 93 | "answerText": "Fast R-CNN", |
| 94 | "isCorrect": false |
| 95 | } |
| 96 | ] |
| 97 | }, |
| 98 | { |
| 99 | "questionText": "Which metric can be used to determine how well bounding boxes are aligned?", |
| 100 | "answerOptions": [ |
| 101 | { |
| 102 | "answerText": "accuracy", |
| 103 | "isCorrect": false |
| 104 | }, |
| 105 | { |
| 106 | "answerText": "precision", |
| 107 | "isCorrect": false |
| 108 | }, |
| 109 | { |
| 110 | "answerText": "IoU", |
| 111 | "isCorrect": true |
| 112 | } |
| 113 | ] |
| 114 | } |
| 115 | ] |
| 116 | } |
| 117 | ] |
| 118 | } |
| 119 | ] |