This article filter out the top data annotation companies that every AI developer should have an eye on.

Object detection is a product of Computer Vision and is a very effective technique to precisely locate items of different shapes and sizes and label them.

Heavily shattered by the pandemic, the retail sector is on the lookout for innovation. 

Body management is desired yet hard. Knowing how much the daily take-in is can also be a challenge. Read on to use ML tech to overcome these challenges.

The goal of image annotation is to make the most of technology, and it is something that will never go away

This blog analyses various CNN and Transformer-based SWIN architecture for Image Classification

Ever wondered if we can stream batches of data in near real-time instead of wasting time transffering data? Introducing Dagshud Direct Data Access

Working with images is more and more popularized; we are going to take dive into this field, first with the basics and starting with an open CV library.

What if we could use that to provide a better file name based on the content of the image? Here's what I was able to find.

Explore the human-centric evaluation of interpretability in part-prototype networks, revealing insights into ML model behavior, decision-making processes.

Discover how the number of prototypes in classifiers influences classification accuracy and interpretability.

Explore an experiment designed to evaluate the interpretability of the decision-making process in prototype-based models

Learn the outcomes of experiments evaluating the similarity between prototypes and activated regions on query samples across various part-prototype methods.

Explore the methodology and results of experiments assessing the interpretability of prototypes generated by various part-prototype methods.

Discover the detailed methodology used for human-centric evaluation of part-prototype models, including annotator recruitment and quality assurance, and more.

Explore a comparative study analyzing flaws in the HIVE framework, a comprehensive overview of ProtoPNet and its derivatives.

Explore a human-centric framework for evaluating the interpretability of part-prototype-based models using actionable metrics and experiments