flexiquiz.pdf

Klatch Internship Qualification Test (Project X4) What is the primary task in this internship? Coding AI models from scratch Segmenting and labeling a specific metal object in images Data entry work unrelated to AI Annotating text documents for natural language processin...

Klatch Internship Qualification Test (Project X4) What is the primary task in this internship? Coding AI models from scratch Segmenting and labeling a specific metal object in images Data entry work unrelated to AI Annotating text documents for natural language processing (NLP) In this internship, what will you be segmenting? Text in scanned documents Spiral metal objects in images Animal figures in images Street signs and traffic lights in images Which of the following best describes 'semantic segmentation' in image annotation? Identifying key points of interest in an image Dividing an image into regions and labeling them based on specific categories Translating the text present in image Compressing images to reduce size while retaining quality What is the primary purpose of the mask created during segmentation? To enhance the image's visual appeal To isolate the specific object in the image for machine learning models to learn from To add color effects to images To blur out unwanted details in the image How does image annotation relate to AI development? Annotation is used as a reference for debugging AI models AI models learn from annotated data, which improves their ability to detect, classify, and understand objects in new data Annotation is unrelated to AI and is just a part of data entry work Annotation is used to generate synthetic data that replaces the need for real data Why is attention to detail crucial for this internship? Because errors in segmentation could result in faulty data that negatively impacts the performance of AI models To make sure the images look perfect To maintain the file size below a certain limit Because each image will be shared publicly Which of the following would be the result if an image is segmented inaccurately? The AI model might learn incorrect information, leading to poor performance The AI model will automatically correct the mistakes The image won't load on the annotation tool The segmented object will appear larger than expected What kind of AI technologies could benefit from accurate image segmentation? Video game design Social media account management Autonomous vehicles and medical imaging tools Blockchain development Which of the following statements is true? Image annotation is simple data entry and has no impact on AI or machine learning Image annotation provides the labeled data that AI models require to learn and perform tasks such as object detection and classification Image annotation is only used for entertainment purposes Image annotation is the final step in AI model training Why might someone misunderstand this internship as a "data entry" job? Because it involves manually working with data, even though the data is visual (images) rather than textual Because it involves writing code for AI models Because it doesn't use any computer software Because image annotation is unrelated to AI technology