data annotation for machine learning guide

Data Annotation for Machine Learning: A to Z Guide

In this dynamic era of machine learning, the fuel that powers accurate algorithms and AI breakthroughs is high-quality data. To help you demystify the crucial role of data annotation for machine learning, and master the complete process of data annotation from its foundational principles to advanced techniques, we’ve created this comprehensive guide. Let’s dive in…

Hanh from Lotus Quality Assurance talking about 5 Important Data Annotation Tool Features in AI Data Labeling Tool: What you need to know

5 Important Data Annotation Tool Features

Without a Data Annotation Tool, the AI Data Processing is impossible. Some might choose the open source tool, some might come for the vendor source tool or even develop their own tool. With either of these, it is essential for businesses to consider top 5 annotation tool features to find the most suitable one for their products: Dataset…

AI in Agriculture: Transforming the future of farming

Agriculture is one of the oldest and most significant professions in the world. As the population continues to grow and land becomes scarce, people needed to get more efficient farming practices. AI (Artificial Intelligence) is now one of the best solution for the problem of the sector, helping farmers to organize farm data, plant healthier…

Marketing and Artificial Intelligence

Since its introduction, artificial intelligence has impacted various fields; including labor, healthcare, education, transportation and especially marketing. In marketing, AI has brought radical change in the way enterprises approach and perceive their target customers. In order to bring better customer experience, companies have adopted this new tech trend and put several applications into use. Searching…