Deep Tech
Reporting, analysis and features from AIM's Deep Tech section.
Guide To Playment - A Leading Data Labeling Platform for Image, Video and Sensors
Playment is a complete data labelling platform generating training data for computer vision and machine learning models at scale build high-quality ground truth datasets.
Jayita Bhattacharyya ·
Deep Dive in Datasets for Machine translation in NLP Using TensorFlow and PyTorch
With the advancement of machine translation, there is a recent movement towards large-scale empirical techniques that have prompted exceptionally massive enhancements in translation quality. Machine Translation is the technique of conseque…
Ankit Das ·
How To Build Interactive EDA In 2 Lines Of Code Using Pywedge
Venkatesh Rengarajan ·
Software 2.0: The Software That Writes Itself & How Kotlin Is Ushering This New Wave
Ram Sagar ·
Guide To Labelbox - The Customizable Data Annotator Tool
Today we will be discussing a rapid data annotator tool called LabelBox, which has been a market ruler over two years and relied on for many industry use cases.
Jayita Bhattacharyya ·
Datasets for Language Modelling in NLP using TensorFlow and PyTorch
In recent times, Language Modelling has gained momentum in the field of Natural Language Processing. So, it is essential for us to think of new models and strategies for quicker and better preparation of language models. Nonetheless, becau…
Ankit Das ·
Hum to Search: The ML Behind Google’s New Feature
Ram Sagar ·
Guide To SuperAnnotate - The Most Robust Image and Video Annotator Tool
the development of better data annotator tools which can provide better accuracy, speed and precision in data annotations and thus today we’ll be discussing SuperAnnotate.
Jayita Bhattacharyya ·
Guide to Visual Recognition Datasets for Deep Learning with Python Code
Taking our visual recognition datasets discussions further, today we will be talking about Caltech101, Caltech256, CaltechBirds, CIFAR-10 andCIFAR-100 and stl-10 datasets features along with some python code snippets on how to use them.
Jayita Bhattacharyya ·
Moment in Time: The Biggest Short Video Dataset For Data Scientists
Moment in Time is one of the biggest human-commented video datasets catching visual and discernible short occasions created by people, creatures, articles and nature. It was developed in 2018 by the researchers: Mathew Monfort, Alex Andoni…
Ankit Das ·
AIM Announces The Launch Of Third Edition Of Machine Learning Developers Summit - MLDS 2021
Srishti Deoras ·
Amazon Making In Roads Into Chip Industry; Now Uses Its Own Machine Learning Chips For Alexa Services
Ram Sagar ·
How Goodhart’s Law Can Save Machine Learning
Ram Sagar ·
One Of The Most Benchmarked Human Motion Recognition Dataset In Deep Learning
HMDB-51 is an activity video information dataset with 51 activity classifications, which altogether contain around 7,000 physically clarified cuts separated from an assortment of sources going from digitized motion pictures to YouTube.
Ankit Das ·
Register For This Webinar On Data Science In The Post-COVID World: Careers & Skills
Srishti Deoras ·
The Evolution of ImageNet for Deep Learning in Computer Vision
From 2010 ImageNet Large Scale Visual Recognition Challenge (ILSVRC) which is a global annual contest held where software programs(mostly these are Convnets) compete for image classification and detection of objects and scenes. The best al…
Jayita Bhattacharyya ·
Have you Heard About the Video Dataset of Day to day Human Activities
ActivityNet is an enormous dataset that covers exercises that are generally pertinent to how people invest their energy in their everyday living. It was developed in 2015 by the researchers: Fabian Caba Heilbron, Victor Escorcia, Bernard G…
Ankit Das ·
Kubernetes v1.20 Released: Major Features & Updates Introduced
Shraddha Goled ·
Guide To LibriSpeech Datasets With Implementation in PyTorch and TensorFlow
The Librispeech dataset is SLR12 which is the audio recording of reading English speech.
Amit Singh ·
How To Scrape Websites Using Puppeteer & Node.js
Mohit Maithani ·