Data Collection
7 Steps to Obtain Computer Vision Training Data in 2024
Computer vision (CV) technology is advancing rapidly, with revolutionary applications in the following sectors: As the demand for computer vision-enabled systems grows, so does the demand for well-trained computer vision models. To produce high-quality results, these models require large amounts of training data, which must be of high quality and must be accurately labeled.
Crowdsourcing Platforms Comparison & Selection Guide in 2024
A McKinsey study identified that crowdsourcing platforms can have a positive impact on businesses around the world (Figure 1). Despite the benefits, finding the right crowdsourcing platform can be overwhelming due to the abundance of options on the market.
Crowdsourcing in 2024: Types, Benefits & Top Use Cases
As the possibility of a potential recession rises, most businesses are going into a cost-cutting mode1. Mass layoffs are one of the measures companies are taking toward more efficiency. Crowdsourcing can be an effective way to both help businesses reduce costs and help economies lower unemployment.
Data Interoperability & Machine Learning in 2024 & Beyond
Modern business systems are integrated, and if an AI-powered solution is added to a business’s digital mix, it needs to have the ability to work together with all the other software and tools. AI and machine learning interoperability gives that level of integration to AI-powered digital solutions.
7 Best Data Pipeline Tools With Key Capabilities in 2024
Businesses use a variety of data sources, including internal sources (e.g., CRM, ERP), external sources (e.g., social media platforms), and third-party web analytics services ( e.g., Google Analytics). Through the diversity of data sources, businesses use different technologies to capture data from their sources such as web scraping tools and browser fingerprinting technologies.
Human Generated Data Importance in 2024: Barriers & Methods
With the rise of generative AI tools like ChatGPT or Gemini, AI-generated data is becoming popular. However, human-generated data still remains valuable for AI developers. Tech giants like OpenAI are spending millions annually to obtain human-generated data to train their LLMs (large language models)..
Quick Guide to Qualitative Data Collection in 2024
The amount of data that businesses gather and use is increasing1 every day. While some rely mostly on numbers and figures, others rely data on customer experience, behavior analysis, etc. Quantitative and qualitative data are like two sides of a paddle that are equally important2 to steer the business.
Top 4 Facial Recognition Data Collection Methods in 2024
Despite the controversies surrounding this technology, the market for facial recognition systems (FRS) continues to grow1. Facial recognition applications are seen everywhere, from helping improve mental disorder diagnoses to finding fugitives. Developing and improving these systems requires facial data, which sometimes can be difficult to obtain due to security and privacy-related concerns of people.
Data Preprocessing in 2024: Importance & 5 Steps
Almost every business depends on data to grow; in the near future1, leveraging the power of data might become a necessity for their survival.
Top 5 Speech Recognition Data Collection Methods in 2024
From automotive cars to healthcare diagnosis, speech/voice recognition applications are bringing advancements to many industries. Data is an integral part of developing and improving speech recognition systems since the overall level of system performance relies on data quality Apart from training, speech recognition systems regularly need to be improved with fresh data.