DeepLobe

DeepLobe is a no-code AI platform that, according to the vendor, simplifies the development and integration of AI models into existing software, apps, and platforms. It aims to enable organizations of all sizes, from small startups to large enterprises, to leverage the power of artificial intelligence without extensive coding or technical expertise. DeepLobe caters to various professions and industries, including healthcare professionals, retail and marketing professionals, manufacturing professionals, government officials, and professionals in the banking, finance, and insurance sectors.

Key Features

Labeling: DeepLobe provides an auto-annotation platform that, according to the vendor, streamlines the labeling process for images, text, and videos. It offers a user-friendly interface and auto-annotation capabilities, which the vendor claims can save time and effort in data preparation.

Training: DeepLobe allows users to automatically create computer vision models. Its training feature aims to increase productivity by delivering accurate inferences and supporting model explainability. According to the vendor, it also supports various deep learning algorithms and techniques.

Deployment: DeepLobe simplifies the integration of AI models into applications with just a few clicks using APIs. Its deployment feature takes care of infrastructure management, ensuring smooth and efficient model deployment. Users can deploy models anywhere without touching the model architecture, as claimed by the vendor.

Ready-to-use pre-built models: DeepLobe offers a catalog of pre-trained models for various computer vision use cases. These models are ready to use, eliminating the need for users to train from scratch and providing a starting point for their AI applications, according to the vendor.

Flexibility to customize your own models: DeepLobe allows users to upload their training datasets and create custom machine learning models tailored to their specific needs. This feature enables fine-tuning, optimization, and adaptation of AI models to specific business requirements, as claimed by the vendor.

Scalable deployment for any business: DeepLobe's deployment feature aims to ensure scalability for businesses of all sizes. It handles large datasets, load balancing, and auto-scaling to meet growing demands and integrate AI capabilities seamlessly, according to the vendor.

Seamless development and integration: DeepLobe provides a no-code AI platform that, according to the vendor, enables developers and non-developers to build and deploy AI applications without extensive coding. Visual no-code tools are claimed to accelerate the development process and bring AI applications to market faster.

Train custom models in a short span: DeepLobe aims to enable users to train custom models quickly. It offers efficient training algorithms and techniques that optimize the training process, allowing users to iterate and experiment with different configurations, according to the vendor.

OCR (Optical Character Recognition): DeepLobe's OCR feature aims to extract text from images and documents, converting unstructured data into structured information. It supports multiple languages and automates data entry processes, which the vendor claims can improve operational efficiency.

Image Segmentation: DeepLobe's Image Segmentation feature aims to identify and separate objects within images, providing pixel-level accuracy in delineating boundaries. It facilitates image editing, object recognition, and computer vision applications, according to the vendor.