Explore AI's transformative effects on the industry in 2024. Uncover key predictions and trends, from foundational models to data quality investments and more.
Until very recently, performing data science with image and video data was an incredibly difficult task. But now, Sanjay Pichaiah explains how advancement in AI powered tools has allowed more organizations to extract value from visual data, an increasingly important need for businesses.
Given the typically large visual datasets, it is impossible to manually inspect each image, but what if there was an automatic way to validate their quality?
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 data presentation is tricky, but […]
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? How do data scientists sift […]
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 teams work tirelessly to improve […]
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, curating, and searching through these […]
Santiago Valdarrama, an AI and Computer Vision expert, was recently featured on a webinar addressing trending topics in AI/computer vision. This blog will provide an overview of Valdarrama’s takes on the topics, including the important role of data in computer vision, deep learning vs. classical computer vision, and AI bias. Hot Topic # 1 The […]
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.
In previous posts we saw how a video could be visualized and how to search for an object within a video. Now, we can go one step further and search for an event.