Use Data Explorer in the Kaggle RSNA Mammography competition or EDA and coreset selection
As new uses for cameras and the visual data created become available, the need for tools to find the most valuable subsets becomes essential.
This article was originally published on InsideBigData. It is time to shift from a model-centric mindset to a data-centric approach. AI is a massive part of human life today and is woven into the fabric of our everyday society. From medical imagery scanning to the ubiquity of facial recognition software in our cell phones, AI […]
The challenge Imagine you’ve just been given a new batch of 10,000 images or hours of video and you need to find only a small portion of relevant images. How would you go about isolating that subset of the data? In many cases, we receive a batch of visual data, images or video, with very […]
ECCV 2022 was a truly remarkable event. With two full days of incredible workshops and tutorials, followed by three additional days of the main conference, Computer Vision was celebrated in every corner. During the conference, giants like Amazon, Google and Meta, giants-in-the-making like Akriadata, and a whole host of awesome companies gathered to present intriguing […]
nuScenes is a public dataset for autonomous driving. In this post, we'll break down how Akridata Data Explorer makes exploration easy.
The autonomous world is rapidly becoming one of the most significant developments in human history. From self-driving cars to automated retail stores and warehouses, AI and machine learning have seamlessly integrated into our daily lives. The next frontier in AI is to push machines toward even greater autonomy, and achieving this requires a shift toward […]
Class imbalance-in-visual data sets is an all too common problem in real-world applications that use machine learning and AI. Many applications of computer vision suffer from imbalanced class distribution, including fraud detection, anomaly detection, medical diagnosis, oil spillage detection, facial recognition, and more. The consequences of imbalanced class data can have serious impacts on model […]
Explore how Akridata Data Explorer enhances visual data and AI modeling. Learn about its powerful features for dataset curation and efficient AI development.
CVPR Recap: Akridata Key Takeaways We are all jazzed up! We attended CVPR in New Orleans at the end of June and had a great time seeing everyone there, talking computer vision, visual data, and displaying Akridata Data Explorer. Couldn’t make the event? No problem! Below we’ll dive into our top takeaways, trends, and discussions […]