We’ll have a look at which computer vision platforms surveyed companies considered to be the best, as highlighted in our AI Software of Choice 2022 report.
Konduto
The company
Konduto used its e-Commerce, artificial intelligence, and payment gateways experience to create a platform using machine learning and browsing behavior tracking in order to fight online fraud. In 2019, it had 4,000 merchants in Latin America, 175 million processed orders, and prevented the loss of $820 million.
The platforms
This fraud analysis engine uses machine learning technology to prevent fraud in online shopping. By crossing the information from over 2,000 data points and consulting Konduto’s database, it lets buyers have a more confident shopping experience.
Each buyer’s unique behavior is analyzed, with the platform combing over searches, product views, product comparisons, and more, to monitor and identify fraudulent profiles.
Konduto Complete
Ideal for:
- New businesses
- e-Commerces
- Focus on sales
Main features:
Konduto Performance
Ideal for:
- Payment providers
- Real-time decisions
- High-volume retailers
Main features:
Rulex
The company
ATS Global is an automation, IT enterprise, and quality-focused company. Established in 1986, it has six business activities to support the digital transformation journey. It’s the Independent Solution Provider for smart digital transformation, with expertise in:
- Advanced Planning and Scheduling
- Application Lifecycle Management and CloudNXT
- Automation and IT
- Lean and Six Sigma
- Manufacturing Execution System
- Quality Management
- Smart Manufacturing and Industry 4.0
- Supply Chain Management
The platform
Rulex
As the first-ever digital decision management system that is powered by explainable AI, it combines data-derived knowledge and human expertise. Rulex has a full no-code enterprise-grade software that allows business users to interact with professional developers in optimizing, augmenting, and automating their decision-making processes.
Ideal for:
- Enterprise-level
Main features:
Detectron2
The company
Meta, Facebook’s new corporate name, has an organization that heads up the work on artificial intelligence: Meta AI. It focuses on the company’s own AI research, featuring research papers and open-source tools it develops. The social platform, Facebook, uses Meta AI’s neural network, image recognition, and more.
The platform
Detectron2
This open-sourced software system implements state-of-the-art object detection algorithms. Written in Python and powered by the Caffe2 deep learning framework, it aims to provide a high-performance and high-quality codebase for object detection research.
With Dectectron2, models can be exported to Caffe2 or TorchScript format for deployment. Compared to the first iteration, which had a throughput of 10 img/s, Detectron2 is much faster at 62 img/s. Available on GitHub.
Ideal for:
- Beginners
Main features:
MMDetection
The company
The OpenMMLab team wants to provide advanced research and development models and systems for the industry, alongside becoming a worldwide leader in open-source algorithm platforms for computer vision. Widely known across the globe, OpenMMLab has a wide variety of open-source projects for industrial applications and academic research, offering over 20 open datasets that are owned by MMLab.
The platform
MMDetection
This Python toolbox was built as a codebase just for object detection and instance segmentation. MMDetection is built in a modular way with PyTorch and is part of the OpenMMLab project. As an object detection toolbox and benchmark, it has inference and training codes and offers weight for more than addition. Available on GitHub.
Ideal for:
- Quick training and inference
Main features:
Seldon Deploy
The company
Founded with the aim of accelerating the adoption of machine learning in order to solve some of the most challenging issues in the world, Seldon Technologies Ltd made its first open-source release in 2015. Having won awards in the industry, the company believes that machine learning is going to be at the center of every connected business soon.
The platform
Seldon Deploy
Offering governance and oversight for machine learning deployments, Seldon Deploy helps in deploying models in an audited way with Gitops. This enterprise product aims at accelerating deployment management on top of the open-source tools Seldon Alibi, KFserving, and Seldon Core.
You can:
- Update models through Canary workflows.
- Guarantee a safe model deployment with Gitops paradigm.
- Audit model predictions with Black Model Explainers.
- Monitor your running models and search response/request logs.
- Deploy machine learning models effortlessly by using Seldon and KFServing open projects.
Ideal for:
- Enterprise-level
Main features:
Google Cloud AI platform
The company
As a multinational technology company, Google focuses on search engine technology, artificial intelligence, computer software, cloud computing, quantum computing, and more. Some of Google’s innovations include Sycamore (quantum computing), Google Brain (transformer models), Sidewalk Labs (smart cities), and more.
The platform
The Google Cloud AI Platform is a suite of services targeted at building, deploying, and managing machine learning models in the cloud. It’s created for ease of use by data scientists and engineers, helping to streamline workflows. It offers data labeling, BigQuery Datasets, Notebooks, AutoML, training, AI explanations, What-If Tool, Vizier, prediction, and TensorFlow Enterprise services. GitHub repositories are available.
Ideal for:
- Enterprise-level
Main features:
PyTorch
The company
Mainly developed by Facebook’s AI Research lab, now known as Meta AI, PyTorch is an open-source machine learning framework for natural language processing, computer vision, and more. Tesla Autopilot’s deep learning software was built on top of PyTorch. Available on GitHub.
The platform
PyTorch was built to be both modular and flexible for research, offering support and stability for production deployment. While its mobile su[port is still experimental, it supports an end-to-end workflow on iOS and Android, from Python to development. PyTorch offers two high-level features:
- Deep neural networks are built on a tape-based automatic differentiation system.
- Tensor computing with a strong acceleration through GPU.
Ideal for:
- Beginners
Main features:
Python
The company
Developed by Guido van Rossum in the late 1980s, Python was created as the successor to the ABC programming language. It was first released in 1991 as Python 0.9.0, with future iterations added at later dates. It’s one of the most popular programming languages.
The platform
This high-level, general-purpose programming language highlights code readability with the utilization of significant indentation as its design philosophy. Python is garbage-collected (a form of automatic memory management) and dynamically typed, supporting a wide variety of programming paradigms like object-oriented and functional programming.
Ideal for:
- Small and large-scale projects
- Startups and enterprise-level
- Experts and beginners
Main features:
