Looking Ahead to 2024: AI’s Effect on the Industry
As we prepare for 2024, the world of AI, and particularly computer vision (CV), is poised...
Akridata Named a Vendor to Watch in the IDC MarketScape for Worldwide Data Labeling Software Learn More
How Can AI Extract More Value From Visual Data for Computer Vision in Business?
Until very recently, performing data science with image and video data was an incredibly difficult task....
Automatic Image Quality Analysis
Given the typically large visual datasets, it is impossible to manually inspect each image, but what...
Data Explorer: Spotlight on the Visualizing Image Attributes
Information can be presented in many different forms – starting from its raw format, with no...
Data Explorer: Spotlight on Text–to–Image Search
Development cycles in modern computer vision rely heavily on large visual datasets – images of various...
Akridata’s Data Explorer: Spotlight on Saliency Maps
We live now in an era where AI is everywhere around us, where applications and services...
Akridata Data Explorer: Video Sequencing
Visual data is notoriously tricky for data scientists to work with. Visual datasets are known for...
Insights from an AI/Computer Vision Expert: An Interview with Santiago Valdarrama
Santiago Valdarrama, an AI and Computer Vision expert, was recently featured on a webinar addressing trending...
Model Accuracy Analysis with Saliency Maps
Saliency Maps are essentially heat maps outlining which parts of the image influenced the model more,...
Event Search in Videos
In previous posts we saw how a video could be visualized and how to search for...
Modern Model Accuracy Analysis
Akridata’s Data Explorer offers an interactive platform, where the accuracy metrics are connected directly to the...
OneWord — text based search of visual data
Data Explorer now provides a text interface where you simply type what are searching for, and...
Using Region of Interest to Curate Training Datasets
By defining the Region of Interest within visual datasets, organizations can better train their computer vision...
Significantly Improve the Odds of Success for your Computer Vision Project
Akridata recently hosted a webinar highlighting the challenges data scientists working with visual data often face...
Image Data Set Visualization
A dataset of images, used for computer vision tasks, could be the key to success or...
Image Data Set Exploration
A visual dataset used for computer vision tasks, could be the key to success or failure....
Image Based Search
Data Explorer allows you to search the dataset for images that are similar to a certain...
How to choose a subset of images for training?
In this blog, we will see how to automatically select a subset of images for training.
How to automatically split a video into scenes?
Data Explorer manipulates videos, modifies frame rate for faster processing, splits them into scenes and allows...
How to search in a video?
We see how to perform an image based search or a patch based search in a...
How to effectively combine metadata and raw images for model training?
Data Explorer is a platform that was built to allow us focus on the data, curate...
Data Explorer for Kaggle
Use Data Explorer in the Kaggle RSNA Mammography competition or EDA and coreset selection
The Benefits and Challenges of Visual Data Today
As new uses for cameras and the visual data created become available, the need for tools...
Stop Building Models, Start Training Data
This article was originally published on InsideBigData. It is time to shift from a model-centric mindset...
Case Study: Demonstrating Data Explorer’s Search Capability
The challenge Imagine you’ve just been given a new batch of 10,000 images or hours of...
ECCV 2022 Recap: Akridata Key Takeaways
ECCV 2022 was a truly remarkable event. With two full days of incredible workshops and tutorials,...
Exploring an Autonomous Car (nuScenes) Dataset
nuScenes is a public dataset for autonomous driving. In this post, we'll break down how Akridata...
How to Make Data-Centric AI Work for Visual Data
The autonomous world is one of the most important developments in human history. From self driving...
Addressing Class Imbalance in Visual Data
Class imbalance-in-visual data sets is an all too common problem in real-world applications that use machine...
Visual Data and AI Modeling, Meet Akridata Data Explorer
AI and ML have made incredible strides in recent years, but we are rapidly approaching a...
CVPR 2022 Recap: Akridata Key Takeaways
CVPR Recap: Akridata Key Takeaways We’re all jazzed up! We attended CVPR in New Orleans at...
CVPR Recap: Akridata Key Takeaways
CVPR Recap: Akridata Key Takeaways We are all jazzed up! We attended CVPR in New Orleans...
Akridata at GTC 2022
GTC 2022 is Just Around the Corner! Next week, Nvidia’s GTC Conference and Training will be...
Data Supply Chain for Data-Centric AI
The December edition of Tech Briefs from SAE International featured a short paper from Akridata on how a...
Akridata’s Data Twin for Nvidia’s End-to-End Infrastructure
Many of you are familiar with the comprehensive range of AI solutions that Nvidia currently offers....
Data Centric AI is the Biggest Thing in AI since AI
AI guru and one of Time magazine’s 100 Most Influential People in 2012, Andrew Ng recently launched a campaign to drive the...
3 Reasons Why I Joined Akridata
By Kunal Vasavada Recently, I visited a mattress store to find one for my toddler son....
Data – The Dirty Little Secret in AI
Launching Akridata required many research and brainstorming sessions with the founding team. Now Sanjay Pichaiah, Vice...
Data Challenges of the Autonomous World by the Numbers
The Autonomous World is one of the most important endeavors in human history. We’re starting to...