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I applied via LinkedIn and was interviewed in Nov 2024. There was 1 interview round.
Chose Yolo for its real-time processing speed and simplicity compared to two-stage detectors.
Yolo is faster than two-stage detectors as it processes the image in a single pass
Yolo is simpler to implement and train compared to two-stage detectors like Faster R-CNN
Yolo is more suitable for real-time applications where speed is crucial, such as autonomous driving or video surveillance
Developed a machine learning model to predict customer churn for a telecom company.
Used Python and scikit-learn for data preprocessing and model building
Performed feature engineering to extract relevant information from customer data
Evaluated model performance using metrics like accuracy, precision, and recall
Implement IOU function for evaluating object detection models.
Calculate the area of overlap between two bounding boxes.
Calculate the area of union between two bounding boxes.
Divide the area of overlap by the area of union to get IOU.
IOU = Area of Overlap / Area of Union
Example: Bounding Box 1 (x1, y1, x2, y2) = (0, 0, 4, 4), Bounding Box 2 (x1, y1, x2, y2) = (2, 2, 6, 6)
Implementing a dataset for object detection involves collecting and labeling images with bounding boxes around objects of interest.
Collect a diverse set of images containing the objects you want to detect
Label the objects in the images with bounding boxes to indicate their location
Split the dataset into training, validation, and test sets for model evaluation
Augment the dataset by applying transformations like rotation...
I was interviewed in Aug 2024.
The entire process began with an aptitude and programming assessment, followed by a call from the recruiter to schedule the first technical interview 15 days after the assessment. During the interview, the interviewer primarily asked basic questions related to my resume, focusing on the MERN stack and essential concepts such as the event loop in JavaScript, the box model in CSS, and hooks in React. However, I was not shortlisted for the second round of interviews.
Anchors in HTML, event loop in JavaScript, box model in CSS, padding and margin, hooks in React.js, CORS in Node.js, JWT token.
Anchor tag in HTML is used to create hyperlinks. Example: <a href='https://www.example.com'>Click here</a>
Event loop in JavaScript is responsible for handling asynchronous operations. Example: setTimeout() function
Box model in CSS defines the layout of elements. It consists of conte...
I was interviewed in Jan 2025.
Ask to solve string reverse ques
Infocusp interview questions for popular designations
I applied via Naukri.com and was interviewed in Jun 2024. There was 1 interview round.
I applied via Approached by Company and was interviewed in Dec 2023. There was 1 interview round.
I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.
There were two Python questions, difficulty level was average.
I applied via Campus Placement and was interviewed in May 2021. There were 3 interview rounds.
I applied via Campus Placement and was interviewed before Mar 2021. There were 2 interview rounds.
Questions included topics such as DSA, OS, DBMS and few ML concepts too.
This was included in aptitude test itself. 3 questions were asked, 1 was of basic String Logic, another one was a DP question and other was a Graph question.
Level of difficulty : Medium - Hard
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