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Imagine that you have trained several models to find the most suitable one for your application and the one that obtained the best performance is also the largest. And, additionally, the slowest one at inference time. This problem is rather common. Very large models that fit the training objectives, but often fail to meet latency, […]
Image labeling or annotation is fundamental for every Artificial Intelligent (AI) project. The performance of the trained model is highly dependent on the quality of annotations because this process transfers the human “wisdom” into the AI domain. Lack of clear project objectives, annotation rules, and annotator’s experience are the most common reasons many AI projects fail to achieve their goals. […]
Artificial Intelligence is the field where we try to build systems that perform mental tasks just as we would ourselves, perhaps even in a better way. These could be simple tasks like finding a name in a list of guests, or something more complex like reasoning about the Nature of Man, and everything in between. […]
The first step toward building a computer vision solution is gathering the necessary images and preparing the training dataset. Something of extreme importance for agricultural environments as they are amongst the most challenging due to the constantly changing environmental conditions. Plant’s shape, size, characteristics, and color change throughout the growing season and are heavily dependent […]