Deep Block
Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution.
Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images.
Deep Block's no-code data labeling interface lets you achieve your MLOps projects in days, with no prior expertise.
Instead of hiring your own in-house AI engineering team, anybody can start training their own AI. If you have a mouse and a keyboard, you can use our web-based platform, check our project library for inspiration, and choose between 9 out-of-the-box AI training modules (image segmentation, object detection, facial detection, facial comparison…) to get you started.
The power of Deep Block is not limited to training your own AI. Once, your AI model is ready, Deep Block's high-performance AI models can deliver very accurate results when detecting objects (0.9 mAP) and with minimum false positives (0.9 recall).
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Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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Visual Layer
Visual Layer is a platform for working with large volumes of image and video data. It supports visual search, filtering, tagging, and dataset structuring across raw files, metadata, and labels. No code is required, and both technical and non-technical teams use it in production. Common applications include curating datasets for machine learning, auditing visual content for compliance, reviewing surveillance material, and preparing media for downstream platforms.
The platform detects duplicates, mislabeled items, outliers, and low-quality files to improve data quality before model training or operational decision-making. It is model-agnostic, supports both cloud and on-premise deployment, and is built by the creators of Fastdup, the widely used open-source tool for visual deduplication.
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Vaidio AI Vision Platform
IronYun's Vaidio® AI Vision Platform delivers 30+ advanced AI video analytics functions to add a layer of superhuman intelligence and market leading accuracy to existing camera and video infrastructure. Vaidio works with any IP camera and integrates out of the box with 28 market leading video management systems. Vaidio AI accelerates and scales intelligence across real-time, forensic, and video data applications. These applications include intrusion detection, person and vehicle counting, face and license plate recognition, vehicle make and model, loitering, crowding, PPE, weapon, smoke, and fire recognition and more. In the past three years the Vaidio Platform has won ISC West New Product Showcase Awards for Commercial Monitoring, Loss Prevention, and Video Analytics.
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