9 ???? Object Detection Datasets
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Photo by Jimmy Chang on Unsplash Starter code Available using Monk Libraries In this article, I am going to share a few datasets for Object Detection. Starter code is provided in Github and …
Classification Using Monk AI by Using a Slice of the Dataset
Author(s): Shubham Gupta Originally published on Towards AI. Classification Using Monk AI by Using a Slice of the Dataset In Machine Learning, Classification is a process of categorizing a given set of data into classes. It can be performed on both structured …
An Offbeat Approach to Brain Tumor Classification using Computer Vision
Author(s): Navoneel Chakrabarty Originally published on Towards AI. navoneel1092283/Brain_Tumor_Detection_HybridCNN-SVM_Weights Computer Vision plays a very crucial role in the field of Medical Science and this study of Applied Computer Vision in Medical Science is broadly known as Medical Imaging. Now, Computer Vision is …
Why Switch to Convolutional Neural Networks?
Author(s): Suraj Dubey Originally published on Towards AI. Deep Learning Photo by Bluehouse Skis on Unsplash “Whatever you are studying right now, if you are not getting up to speed on deep learning, neural networks, etc., you lose. We are going through …
LSTM for Time-series: Chaos in the AI Industry
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Machine Learning LSTM is one of the most common neural networks for forecasting time-series. Unfortunately, this kind of neural network is complex (data preparation in particular), not only because time-series data requires a specific …
Reading: ESRGAN — Enhanced Super-Resolution Generative Adversarial Networks (Super Resolution & GAN)
Author(s): Sik-Ho Tsang Originally published on Towards AI. Deep Learning Outperforms SRCNN, EDSR and RCAN, and SRGAN. Also, won the First Place in PIRM2018-SR challenge ESRGAN can have a sharper result than SRGAN In this story, Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN), …
Small -> Big -> Massive — VM to BM to Serverless Spark-based Data Science
Author(s): Deepak Sekar Originally published on Towards AI. Cloud Computing We have heard about big data platforms supporting ML workloads with distributed computing. But do you always need a big data platform for your data science workloads? How about the flexibility to …
Reading: MegDet — A Large Mini-Batch Object Detector, 1st Place of COCO 2017 Detection Challenge (Object Detection)
Author(s): Sik-Ho Tsang Originally published on Towards AI. Computer Vision Large Mini-Batch Size of 256 With Warmup Learning Rate Policy and Cross-GPU Batch Normalization, the training time is reduced From 33 hrs To 4 hrs mmAP increases much faster with 256-batch In …
How to Become a Data Scientist? Step-by-step Path
Author(s): Ali Ghandi Originally published on Towards AI. Data Science, Opinion Becoming a data scientist is a relatively new career trajectory that merges statistics, business logic, and programming knowledge. Especially a data scientist and not just a machine learning engineer needs a …
NLP News Cypher | 06.07.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by John Fowler on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 06.07.20 Revelations On the North Dakota Canadian border, therein lies a pyramid… declassified A cold war relic, symbolizing …
Object Detection — Most Important “B” Detectors and Use-cases for Smart Cities
Author(s): Mihir Rajput Originally published on Towards AI. Computer Vision Source: Scnsoft Let’s dive in. In this article will cover the following objects detection. Bus/Heavy Vehicle Detection Birds Detection Baseball bat Detection Bicycle Detection Bottle Detection (The world environment day special!) These …
Colorizing Black & White images with Deep Learning
Author(s): Jair Ribeiro Originally published on Towards AI. Deep Learning Source: Colorful Image Colorization Richard Zhang, Phillip Isola, Alexei A. Efros University of California, Berkeley Since the beginning of photography, Image colorization may have been reserved for those with artistic talent in …
NLP News Cypher | 06.28.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Jeff Finley on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 06.28.20 The Final Frontier Geoff Hinton backpropagated himself and cancelled a bunch of meetings. He realized that his …
AI Generates 3D high-resolution reconstructions of people from 2D images | Introduction to PIFuHD
Author(s): Louis Bouchard Originally published on Towards AI. This AI Generates 3D high-resolution reconstructions of people from 2D images! It only needs a single image of you to generate a 3D avatar that looks just like you, even from the back! The …
COVID-19: Face Mask Detection Using Deep Learning and OpenCV
Author(s): Ravideep Singh Originally published on Towards AI. Computer Vision, Deep Learning, Data Science in the Real World Construct a CNN model and check whether a person is wearing a mask or not in real-time Photo by cottonbro from Pexels COVID-19 has …
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