DeepMeta

DeepMeta is a tool developed by Eazign that uses advanced deep learning algorithms to analyze and tag images with descriptive metadata.

DeepMeta utilizes state-of-the-art convolutional neural networks to learn from large amounts of image data and automatically assign relevant metadata tags to images.

Metadata provides valuable information about the content of an image, making it easier to organize, search, and retrieve specific images from large collections. It also aids in copyright protection and licensing.

DeepMeta assigns a wide range of metadata, including descriptive tags for objects, people, scenes, emotions, colors, and more.

Yes, DeepMeta is designed to handle large-scale image collections efficiently. Its deep learning algorithms are optimized for speed and scalability.

Absolutely. DeepMeta offers customization options, allowing it to be tailored to specific industries or use cases. Additional training can be provided based on specific requirements.

DeepMeta is available as both a cloud-based service and an on-premise software solution. This flexibility enables users to choose the deployment option that best suits their needs.

Yes, DeepMeta provides integration capabilities that allow seamless integration with existing image management systems or workflows.

Yes, DeepMeta supports multiple languages for metadata tagging, making it suitable for international users and organizations with diverse content.

DeepMeta achieves high accuracy in metadata tagging, thanks to its advanced deep learning models that have been trained on extensive image datasets. However, some manually verified post-processing may be required based on user preferences and specific use cases.