Author Archives: Jayita Bhattacharyya - Page 5
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.
The post Guide To Labelbox – The Customizable Data Annotator Tool appeared first on Analytics India Magazine.
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.
The post Guide To Labelbox – The Customizable Data Annotator Tool appeared first on Analytics India Magazine.
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.
The post Guide To SuperAnnotate – The Most Robust Image and Video Annotator Tool appeared first on Analytics India Magazine.
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.
The post Guide to Visual Recognition Datasets for Deep Learning with Python Code appeared first on Analytics India Magazine.
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.
The post Guide to Visual Recognition Datasets for Deep Learning with Python Code appeared first on Analytics India Magazine.
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 algorithm with the least top 5 error rate is selected as the winner.
The post The Evolution of ImageNet for Deep Learning in Computer Vision appeared first on Analytics India Magazine.
Open Images contains nearly 9 million images with annotations and bounding boxes, image segmentation, relationships among objects and localized narratives.
The post Deep Dive Into Open Images Dataset: A Large Scale Visual Dataset With Annotations And Bounding Boxes By Google appeared first on Analytics India Magazine.
MNIST is the best to know for benchmark datasets in several deep learning applications. Taking a step forward many institutions and researchers have collaborated together to create MNIST like datasets with other kinds of data such as fashion, medical images, sign languages, skin cancers, colorectal cancer histology and skin cancer MNIST.
The post Guide To MNIST Datasets For Fashion And Medical Applications appeared first on Analytics India Magazine.
In today’s article, we’ll be talking about the very basic and primarily the most curated datasets used for deep learning in computer vision.To show the performance of these neural networks some basic preprocessed datasets were built, namely the MNIST and its variants such as KMNIST, QKMNIST, EMNIST, binarized MNIST and 3D MNIST.
The post 6 MNIST Image Datasets That Data Scientists Should Be Aware Of (With Python Implementation) appeared first on Analytics India Magazine.
In this article, let us take a walk through various features and services Kaggle provides which have proven to be a boon for any ML and DS practitioner.
The post How To Get Started With Kaggle: A Quick Starter Guide appeared first on Analytics India Magazine.