Akridata

Akridata Named a Vendor to Watch in the IDC MarketScape for Worldwide Data Labeling Software Learn More

We'll keep you in the loop with everything good going on in the Akridata world.

How Computer Vision is Transforming…

Agricultural organizations face a unique challenge. While the industry itself—as well as the farmlands upon which businesses within those industries...

Read Post
Quality Inspection Using AI Vision

Make the Most of Quality Inspection By Using AI Vision

Across industries, quality inspection is essential. Not only does thorough review of products ensure lower rates of returns from unsatisfied customers, it promotes trustworthiness in your brand. Whether you’re a grocery store making certain that your not selling rotten or damaged fruit, a toy manufacturer inspecting the safety of the

Read Post

Data Explorer: Spotlight on the Visualizing Image Attributes

Information can be presented in many different forms – starting from its raw format, with no processing or filtering, through graphs and statistics, to a short summary or even a single value. It all depends on the use case, available resources and the next step. Choosing the correct form of

Read Post

Data Explorer: Spotlight on Text–to–Image Search

In the fast-evolving field of computer vision, development cycles heavily rely on extensive visual datasets. These datasets, comprising diverse images and videos from various sources, are curated to form training and test sets essential for developing, training, and testing deep learning (DL) models. But how does this curation process work?

Read Post

Akridata’s Data Explorer: Spotlight on Saliency Maps

We live now in an era where AI is everywhere around us, where applications and services rely heavily on automated systems with an AI-based component embedded in them. In order to perform well, these systems rely on getting an accurate output from various ML models, and while researcher and DS

Read Post

Akridata Data Explorer: Video Sequencing

Akridata Data Explorer: Revolutionizing Video Sequencing for Data Scientists Visual data has always been challenging for data scientists, but when it comes to video data, the complexities multiply. The massive size, high frame rates, and the sheer volume of content make video datasets incredibly unwieldy. The traditional methods of cleaning,

Read Post

Model Accuracy Analysis with Saliency Maps

Saliency Maps are essentially heat maps outlining which parts of the image influenced the model more, and which were less important. Once we understand that, we can decide what and how to change, in order to improve the model’s accuracy.

Read Post
Image Data-Set Exploration

Image Data Set Exploration

A visual dataset used for computer vision tasks, could be the key to success or failure. So how do you make sure your algorithm and model are based on strong foundations?

Read Post

Stay updated with Akridata by signing up for our newsletter.

Akridata_Blog_Why-I-Joined_O_i

3 Reasons Why I Joined Akridata

By Kunal Vasavada Recently, I visited a mattress store to find one for my toddler son. This was a rather large store with so many brands, comfort styles, price tags and more. Within a few minutes of browsing around, testing a few mattresses by hand to check for firmness, reading

Read Post
Akridata_Blog_Data-Centric-AI_Oi

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 adoption of “Data-Centric AI.” Why? Because at this point in the evolution of AI, the success and the future of real-world AI applications hinges on the quality of data. While ML/AI hardware infrastructure and

Read Post
Akridata_Blog_Data-Twin-NV_Oi

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. With chips optimized for AI, PCB boards, AI software dev kits, and the Omniverse platform with Digital Twin capabilities, Nvidia provides almost everything needed to successfully build an AI infrastructure that reaches across edge

Read Post

Ready to improve model accuracy and reduce costs?