Data Collection
7 Steps to Obtain Computer Vision Training Data in 2025
Computer vision (CV) technology is advancing rapidly in various industries. As demand for computer vision systems rises, so does the need for well-trained models. These models require large, high-quality, accurately labeled datasets, which can be costly and time-consuming to collect.
Crowdsourcing in 2025: 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.
7 Best Data Pipeline Tools With Key Capabilities in 2025
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 '25: Barriers & Methods
Despite the rise of generative AI tools like ChatGPT and Gemini, human-generated data remains crucial for AI developers. Companies like OpenAI invest heavily in obtaining human-generated data to train their large language models (LLMs). Whether through data collection services or in-house efforts, AI developers require a steady stream of human-generated data.
Top 4 Facial Recognition Data Collection Methods in 2025
Despite the controversies surrounding this technology, the facial recognition systems (FRS) market continues to grow. Facial recognition applications are everywhere, from helping improve mental disorder diagnoses to finding fugitives. Developing and improving these systems requires facial data, which sometimes can be challenging to obtain due to security and privacy-related concerns of people.
Automated Data Collection Tools & Use Cases in 2025
Automated data collection involves using automated systems to gather, process, and analyze information efficiently. Since automated data is produced from multiple sources and comes in various formats, understanding the different types of data and their origins is crucial for effectively implementing data automation.
Top 3 MTurk or Amazon Mechanical Turk Alternatives [2025]
This analysis explores some downsides to using Amazon Mechanical Turk or MTurk, a popular AI data collection and market survey platform. It also compares the top Amazon Mechanical Turk alternatives on the market. Readers interested in MTurk alternatives usually fall under 3 categories; select yours to see relevant alternatives for your business.
Top 3 Appen Alternatives in 2025 for Workers & Customers
Appen, an AI data service provider, faces challenges that may explain its declining popularity. We compared the top alternatives to Appen in the AI training data space. The alternatives to Appen depend on your goals. Explore alternatives for Appen’s: Appen alternatives for workers * Data is from Trustpilot, as it primarily consists of worker reviews.
Audio Data Collection for AI: Challenges & Best Practices
As the demand for voice recognition and virtual assistants grows , so does the need for audio data collection services. You can also work with an audio or speech data collection service to acquire relevant training data for your speech processing projects.
Video Data Collection in 2025: Challenges & Best Practices
Video data is essential for training computer vision (CV) systems, especially with the growing demand for autonomous vehicles and CV-enabled technologies. Here, we explore what video data collection entails, the challenges involved, and best practices to consider.