Newest AI 데이터 수집 Solutions for 2024

Explore cutting-edge AI 데이터 수집 tools launched in 2024. Perfect for staying ahead in your field.

AI 데이터 수집

  • GTS.AI offers high-quality AI datasets and annotation services.
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    What is AI Data Collection Company?
    GTS.AI is a leading company in the field of artificial intelligence, focusing on the collection and annotation of datasets essential for training machine learning models. Their services cater to various industries, offering precise and high-quality data that helps organizations build efficient AI solutions. GTS.AI not only collects data but also annotates it to ensure accuracy and relevance, making it a trusted partner for businesses looking to leverage AI technology effectively.
  • Collect and train AI with screen and face data easily.
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    What is G-Data Screen Data?
    G-Data Screen Data allows users to collect vital screen and facial data to train AI models effectively. This Chrome extension simplifies the process of data collection, making it user-friendly for researchers and developers focusing on AI applications. By leveraging real-time data, users can enhance AI capabilities and improve machine learning outcomes. The integration with the G-Datalabs platform ensures that collected data is utilized efficiently, driving more effective learning and performance in AI systems.
  • Crawlr is an AI-powered web crawler that extracts, summarizes, and indexes website content using GPT.
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    What is Crawlr?
    Crawlr is an open-source CLI AI agent built to streamline the process of ingesting web-based information into structured knowledge bases. Utilizing OpenAI's GPT-3.5/4 models, it traverses specified URLs, cleans and chunks raw HTML into meaningful text segments, generates concise summaries, and creates vector embeddings for efficient semantic search. The tool supports configuration of crawl depth, domain filters, and chunk sizes, allowing users to tailor ingestion pipelines to project needs. By automating link discovery and content processing, Crawlr reduces manual data collection efforts, accelerates creation of FAQ systems, chatbots, and research archives, and seamlessly integrates with vector databases like Pinecone, Weaviate, or local SQLite setups. Its modular design enables easy extension for custom parsers and embedding providers.
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