Scale AI Interview Questions

Rui B. - "Clarification and Assumption In house labeling vs outsourced? labeling text, images, bounding boxes, segmentations etc? what kind of issues have we observed? Assuming that data collection and pre/post-processing is done by different team and labeling starts with receiving data and ends with sending files back to my team. "outsourced, images containing objects, 2 dozen classes of objects to label bounding boxes." 2.Goal Quality is important because downstream effect. garbage in garbage out."See full answer

Amparo L. - "The most impressive thing that I’ve done was I got to do a fowards flip on the gym mat and I’ve gotten way flexible "See full answer

Shibin P. - "A typical computer vision pipeline consists of several key stages that process and analyze visual data to extract meaningful information. Here’s a general outline of the steps involved: Image Acquisition:Capturing images or videos using cameras or other imaging devices. Preprocessing steps such as resizing, cropping, and converting color spaces. Image Preprocessing:Noise reduction (e.g., using filters like Gaussian blur). Image normalization to standardize pixel values. Contrast e"See full answer

Xuelong A. - "I've participated in several competitions in Kaggle concerning medical images. My most recent competition deals with images of skin lesions and classifying them as either melanoma or not. I focused on fine-tuning pretrained models and ensembling them. I also like to keep track of the latest trends of computer vision research, with a focus on making models memory-efficient through model compression and interpretability."See full answer