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Deep Block by Omnis Labs is a powerful deep learning platform designed to streamline the development and deployment of computer vision models, particularly for tasks like image classification, object detection, and segmentation. Geared towards developers, data scientists, and researchers, Deep Block provides an accessible interface to build and train neural networks without needing to write extensive code. Its primary purpose is to democratize AI development by combining no-code/low-code tools with advanced model training features. Key highlights include automated data labeling, model versioning, real-time performance monitoring, and deployment pipelines tailored to machine vision applications. The user interface of Deep Block is thoughtfully designed to suit both beginners and experienced users. Its drag-and-drop workflow enables users to import datasets, configure model architectures, and start training with just a few clicks. The dashboard displays project progress, model metrics, and resource usage in real time through interactive graphs and charts. The visual model builder allows for editing neural network structures visually, offering flexibility for users who want to customize layers while still benefiting from a no-code approach.
Deep Block can handle extremely large image files, up to 10 GP (gigapixels) resolution or 100,000 x 100,000 pixels, and file sizes up to 40 GB, significantly exceeding competitor capabilities.
With a processing speed of 10GB/sec, Deep Block offers the world's fastest imagery analysis solution, enabling instant insights from large datasets.
The platform boasts high accuracy (0.9 mAP) in detecting objects and high reliability (0.9 Recall) with minimal false negatives.
Deep Block provides an intuitive, streamlined, and powerful one-stop-shop platform for high-resolution, large-volume image analysis.
It offers essential computer vision tasks like Image Segmentation (detecting and classifying areas using polygons), Object Detection
Deep Block allows users to integrate their trained models into their own applications using Deep Block's API. This facilitates seamless automation and sharing of results within existing workflows.
Enables AI-powered analysis for wafer inspection, metrology, and surface inspection in microscopy.
Supports images up to 100,000 x 100,000 pixels.
Handles significantly larger image files compared to competitors.
Provides exceptionally fast analysis of large datasets.
Ensures high precision in object detection.
Minimizes false negatives, ensuring thorough detection.
Detects and classifies areas of interest within an image using polygons.
Identifies, locates, and classifies objects of any size within an image using bounding boxes.
Identifies temporal discrepancies between images taken at the same place.
Offers a complete platform for high-resolution, large-volume image analysis.
Intuitive interface for labeling data sets and collaborating on projects.
Tools to analyze and track model performances and progress during training, with instant results.
Allows direct use of new models within Deep Block for analyzing high-resolution remote sensing imagery on the fly.
Enables integration of models into external applications and sharing results.
Applicable to Intelligence, Surveillance, and Reconnaissance (ISR), Remote Sensing, Semiconductor & MEMS, Precision Farming & Forestry, and Life Science & Medicine.
Works with various public and private institutions across diverse applications (GIS, Research, Security, Surveillance, Medicine).
Provides means to get a demo, inquire about education courses, report bugs, or explore custom solutions.
Offers an invitation to subscribe to their monthly newsletter, "The Deep Dive."
Allows users to create and use AI models without coding.
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Does Deep Block have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
N/A
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