Picterra Description
AI-powered geospatial solutions for the enterprise. Detect objects, monitor changes, and discover patterns 95% faster.
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RunPod
RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.
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Deep Block
Deep Block is a no-code platform to train and use your own AI models based on our patented Machine Learning technology.
Have you heard of mathematic formulas such as Backpropagation? Well, I had once to perform the process of converting an unkindly written system of equations into one-variable equations.
Sounds like gibberish?
That is what I and many AI learners have to go through when trying to grasp basic and advanced deep learning concepts and when learning how to train their own AI models.
Now, what if I told you that a kid could train an AI as well as a computer vision expert?
That is because the technology itself is very easy to use, most application developers or engineers only need a nudge in the right direction to be able to use it properly, so why do they need to go through such a cryptic education?
That is why we created Deep Block, so that individuals and enterprises alike can train their own computer vision models and bring the power of AI to the applications they develop, without any prior machine learning experience.
You have a mouse and a keyboard? You can use our web-based platform, check our project library for inspiration, and choose between out-of-the-box AI training modules.
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OneView
Utilizing only real data presents notable obstacles in the training of machine learning models. In contrast, synthetic data offers boundless opportunities for training, effectively mitigating the limitations associated with real datasets. Enhance the efficacy of your geospatial analytics by generating the specific imagery you require. With customizable options for satellite, drone, and aerial images, you can swiftly and iteratively create various scenarios, modify object ratios, and fine-tune imaging parameters. This flexibility allows for the generation of any infrequent objects or events. The resulting datasets are meticulously annotated, devoid of errors, and primed for effective training. The OneView simulation engine constructs 3D environments that serve as the foundation for synthetic aerial and satellite imagery, incorporating numerous randomization elements, filters, and variable parameters. These synthetic visuals can effectively substitute real data in the training of machine learning models for remote sensing applications, leading to enhanced interpretation outcomes, particularly in situations where data coverage is sparse or quality is subpar. With the ability to customize and iterate quickly, users can tailor their datasets to meet specific project needs, further optimizing the training process.
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Integrations
Company Details
Company:
Picterra
Year Founded:
2016
Headquarters:
Switzerland
Website:
picterra.ch/
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Picterra Features and Options
Machine Learning Software
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
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