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Test your knowledge of image segmentation with the following question! #Adagrad #computervision #imagesegmentation #poll #ThinkTech Which image segmentation model uses dilated convolution pyramid for multi-scale contextual information?

Celebrating the New Year with a new beginning and new hopes. Happy Gudi Padwa from Team Adagrad!!! #gudipadwa #Adagrad #computervision #machinelearning #artificialintelligence #computerscience #ai

This Women's Day, we take great pride in honoring women in technology. From engineers to data scientists to product designers, the exceptional efforts of women in the realm of computer vision have been a source of motivation for us. Adagrad wishes you all Happy Women's Day!

Happy Holi to all! Here's to the color, love, and laughter that is part of this wonderful festival. #holi #holifestival #holi2023 #happyholi #festival #holikadahan #indianfestival #holihai #Adagrad #computervision #MachineLearning #artificialintelligence #computerscience #ai

In YOLO, hard negative mining selects negative samples likely to be misclassified by the model during training, while random negative mining randomly selects negative samples. Both address class imbalance and improve the model's performance in all classes. #ThinkTech #YOLO

We're Hiring! Adagrad is looking for the best and brightest minds to join our team. If you're passionate about Cutting edge technology and Computer Vision powered solutions. Come work with us and help shape the future of technology. Apply now and let's innovate together.

YOLO's grid cells detect even the rarest of objects, making it a powerful tool for accurate object detection. Which of the following does YOLO use to handle object detection in a class-imbalanced dataset?

3 bounding boxes per grid! Did you get it right or missed it this time around? Stay tuned for this week's #ThinkTech Trivia! #Adagrad #computervision #machinelearning #artificialintelligence #computerscience #ai #deeplearning #technology #poll #linkedinpolls

Join the Adagrad AI team and revolutionize the world of computer vision as a computer vision engineer! #Adagrad #ComputerVision #AIcareers #engineer #ai #team #werehiring #vacancyalert #joinourteam

YOLO grid cells scrutinize each image area meticulously, looking for any sign of objects. The grid cells provide information about the location and class of objects through a sophisticated object detection system. How many bounding boxes does YOLO predict per grid cell?

Happy Republic Day of India! Together, we celebrate the spirit of unity, commitment, and hard work of our beloved nation. #HappyRepublicDay #RepublicDay2023 #Adagrad #computervision #AI

There's no stopping YOLOv6 3.0. An Object detection framework designed for industrial applications. #Adagrad #computervision #machinelearning #artificialintelligence #computerscience #ai #deeplearning #technology #YOLO #software #industrialapplication #yolov6

We know what you're thinking: here's the answer to last week's #ThinkTech trivia. Did you get it right? #ThinkTech #Adagrad #trivia #poll #computervision #machinelearning #artificialintelligence #computerscience #ai #deeplearning #technology

We are thrilled to welcome Aafaq Inamdar to #TeamAdagrad. With his diverse skill set and new energy, Aafaq joins us as a computer vision engineer at Adagrad. Our team is looking forward to driving cutting-edge innovation together! #welcometotheteam

Dealing with imbalanced data is hard in machine learning and even harder in computer vision. The way you decide to deal with this problem would make or break your solution! Which of the following is the right way to handle imbalanced data?

We hope you cross everything off your lists, including your resolutions, this year! Happy New Year 2023! #newyearwishes #happynewyear #2k23 #teamAdagrad #Adagrad #Adagrad #computervision #machinelearning #artificialintelligence #computerscience #cheersto2023 #seasonsgreetings

We can't wait to see what the future holds for us. Here's to 2023, the next 12 months of growth and success!!! #2022recap #Newyearseve #teamAdagrad #Adagrad #Adagrad #computervision #machinelearning #artificialintelligence #computerscience #growth #future #cheersto2022

The results are in, and the correct answer is "True"! You got it right this time, didn't you? #ThinkTech #Adagrad #trivia #poll #computervision #machinelearning #artificialintelligence #computerscience #ai #deeplearning #technology

Merry Christmas from the team at Adagrad! May your holidays be merry and bright. #merrychristmas2022 #happyholidays #Adagrad #computervision #machinelearning #artificialintelligence #computerscience #ai #deeplearning #technology #team

Transformer-based architectures like DETR and Swin Transformers are currently state-of-the-art in several computer vision benchmarks. What do you think? Is it possible to beat some of the recent Transformer based models using simple CNN models? #ThinkTech #AI #polls