February 2020 Summaries

Clarifai's Predict API facilitates the intelligent processing of images by providing descriptive tags or concepts for submitted photos, which can be useful for organizing digital photo libraries or developing applications like chatbots that require image understanding. Beyond tagging, generating meaningful descriptions from these tags is essential for applications that need to interact with users in a human-like manner, such as chatbots and travel blogs. This process involves Natural Language Processing (NLP) techniques, specifically dependency grammar, to create coherent sentences from individual tags. Tools like spaCy can automatically determine syntactic dependencies, enabling the formation of meaningful phrases. This method requires access to extensive text data, which can be sourced from collections such as Wikipedia articles. The post highlights the synergy between Computer Vision and NLP in automating image description generation and suggests further reading for those interested in exploring these topics in depth.

Clarifai has been recognized as a leading provider in the computer vision platform market by Forrester, based on a comprehensive evaluation encompassing criteria such as data capabilities, pre-trained models, and market approach. The company's strengths lie in its breadth of capabilities, including military-grade technology and deployment-agnostic options, which make it suitable for a variety of use cases. Clarifai's platform is designed to be accessible to both technical and non-technical users, allowing them to create custom models and label data securely. Notably, Forrester highlights Clarifai's effectiveness in security applications, due to its advanced models for object, people, and facial detection, coupled with strong support services. This recognition underscores the importance of selecting a capable vendor in the rapidly growing computer vision market, suggesting Clarifai as a reliable option for users seeking comprehensive solutions.