LandingLens Alternatives

Unlock insights from unlabeled images, achieve accurate results, and deploy computer vision models flexibly and scalably across industries.
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Roboflow

If you're looking for LandingLens alternatives, Roboflow is a good place to start. It's an end-to-end platform for training and deploying computer vision models, with automated annotation tools, robust deployment choices and a lot of tools to make development easier. The service can be integrated with frameworks like TensorFlow and PyTorch and cloud services like AWS and Azure, so it can be used in a variety of situations. It also comes with project management tools, access controls and compliance with standards like SOC2 and HIPAA.

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Encord

Another good alternative is Encord, a full-stack data development platform for building predictive and generative computer vision models. It includes tools for ingesting data, cleaning it, curating it, automatically labeling it and evaluating model performance. With tools like Annotate for automated labeling and Active for monitoring model performance, Encord tries to keep things moving smoothly and ensure training data is high quality. It's certified for SOC2, HIPAA and GDPR compliance, so it's good for enterprise customers.

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Label Studio

Label Studio is another option. It's a flexible data labeling tool that can handle images, audio, text, time series and video data, and it can be used to create training data for many different AI models. The service offers customizable layouts, ML-assisted labeling, integration with cloud storage and support for multiple projects. Label Studio is open-source and free, so it's available to anyone.

More Alternatives to LandingLens

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Dataloop

Unify data, models, and workflows in one environment, automating pipelines and incorporating human feedback to accelerate AI application development and improve quality.

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MLflow

Manage the full lifecycle of ML projects, from experimentation to production, with a single environment for tracking, visualizing, and deploying models.

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OpenCV

Provides over 2500 algorithms for real-time computer vision and machine learning applications, with cross-platform support and optimized for performance.

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Clarifai

Rapidly develop, deploy, and operate AI projects at scale with automated workflows, standardized development, and built-in security and access controls.

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Appen

Fuel AI innovation with high-quality, diverse datasets and a customizable platform for human-AI collaboration, data annotation, and model testing.

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ezML

Add custom computer vision abilities to apps with a simple API, leveraging prebuilt models for image classification, object detection, and facial analysis.

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LastMile AI

Streamline generative AI application development with automated evaluators, debuggers, and expert support, enabling confident productionization and optimal performance.

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Segment Anything Model

Segments objects in any image with a single click, generalizing to unknown objects and images without further training, using interactive points, boxes, or text prompts.

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V7

Automates machine learning development tasks, including image and video labeling, to accelerate product delivery and reduce labeling costs by up to 80%.

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Instill

Automates data, model, and pipeline orchestration for generative AI, freeing teams to focus on AI use cases, with 10x faster app development.

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SuperAnnotate

Streamlines dataset creation, curation, and model evaluation, enabling users to build, fine-tune, and deploy high-performing AI models faster and more accurately.

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Novita AI

Access a suite of AI APIs for image, video, audio, and Large Language Model use cases, with model hosting and training options for diverse projects.

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ModelsLab

Train and run AI models without dedicated GPUs, deploying into production in minutes, with features for various use cases and scalable pricing.

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Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

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Salad

Run AI/ML production models at scale with low-cost, scalable GPU instances, starting at $0.02 per hour, with on-demand elasticity and global edge network.

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Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

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DataRobot AI Platform

Centralize and govern AI workflows, deploy at scale, and maximize business value with enterprise monitoring and control.

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Scale

Provides high-quality, cost-effective training data for AI models, improving performance and reliability across various industries and applications.

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Humanloop

Streamline Large Language Model development with collaborative workflows, evaluation tools, and customization options for efficient, reliable, and differentiated AI performance.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

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Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.