Custom models on the DeepLobe platform are developed by users or organizations for specific tasks or applications. These models are built using a variety of computer vision and text analytics approaches, and are trained on custom datasets that are tailore ...
A crucial aspect of building a custom model in DeepLobe is the availability and quality of a suitable dataset. A dataset is a collection of labeled examples that serves as the foundation for training a model. DeepLobe allows users to upload and utilize th ...
Annotation is the process of labeling or marking the relevant features in a dataset. It involves identifying and outlining the objects or regions of interest that the model needs to learn and predict. Proper annotation is essential for training models in ...
DeepLobe’s Object Detection Model is a powerful computer vision tool that enables the detection and localization of objects within images or videos. It automates the process of identifying and outlining specific objects of interest, providing valuab ...
DeepLobe’s Instance Segmentation Model is a powerful tool for advanced computer vision tasks that involves not only detecting objects in an image but also segmenting each instance of the object. Unlike traditional object detection models, which only ...
DeepLobe's Semantic Segmentation model is a powerful tool for understanding the visual content of images at a pixel-level. Unlike Object Detection or Instance Segmentation models that identify and classify objects within an image, Semantic Segmentation go ...
DeepLobe's OCR (Optical Character Recognition) model is designed to extract text from images or scanned documents, enabling users to convert physical or digital text into editable and searchable formats. OCR technology plays a vital role in various indust ...
DeepLobe's Image Classification Model is designed to categorize images into different classes or labels based on their visual content. This model is widely used in various applications, such as object recognition, scene classification, and content-based i ...
DeepLobe's Image Similarity Model is a powerful tool that allows you to compare and identify similar images. This pre-trained model is designed to analyze the visual features of images and provide a similarity score that represents the level of similarity ...