ML Image Classifier alternatives

Get started in seconds with professionally-designed templates you can tweak to make your own with just a few taps. Pick your images, add text on photos, and apply Design Filters to instantly create stunning, thumb-stopping graphics. Explore completely new layouts, color palettes, typography styles or filters in a single tap.

Playment is a fully managed data labeling platform generating training data for computer vision models at scale. We empower companies in the Autonomous Vehicle, Drones, Mapping, and similar spaces with high precision annotation services-No matter how complex. We’re helping companies and research institutions like Drive AI, Starsky Robotics, CYNGN, and UIUC focus on their core areas of development.

From the makers of Lucidchart and Lucidspark, Lucidscale is the cloud visualization solution that helps organizations see, understand and optimize cloud environments, enabling technical and non-technical users to achieve better understanding and alignment.

Configure and deploy your own private, hosted API endpoints to process text, images, and other data using state-of-the-art machine learning in a few clicks. Chain together one or more models to efficiently process and extract insights from your data.

Hasty’s data-centric ML platform allows companies with unique data to build and deploy vision AI applications faster and more reliably across any infrastructure – helping you bring value-added services to your product.

Tiat is a simple and powerful image organizer, build for designers, photographers and magpies. Tiat can handle millions of images with high performance and smooth user experence. You can organize the images in many ways, and easy to find them when you need.

Unweave is Heroku for ML. It gives you instant serverless infrastructure to train your machine learning models. It automatically builds and runs your environment in the cloud, within seconds, while versioning everything you run end-to-end.

Pixave is a robust image organizer, supporting a diverse range of formats with systematic management using Collections, as well as the extremely handy Smart Collections feature. The easy-to-use Drag and Drop has now been tailored to the iOS platform to work wonders.

Streamlit lets you create apps for your machine learning projects with deceptively simple Python scripts. Prototype quickly with hot-reloading, so your app updates live as you edit and save your file. Try it now: ⬇️ $pip install streamlit $streamlit hello

Machine learning models are only as good as the datasets they’re trained on, yet it’s extremely difficult to improve dataset quality. Aquarium uses deep learning to find problems in your model performance and edit your dataset to fix these problems.

Version data, track models, train on custom clusters - without worrying about setting up infrastructure or cloud compute. Save on cloud costs by only paying for what you need. Run hyperparameter sweeps on multiple nodes with the click of a button.

PerceptiLabs is a drag and drop visual modeling tool to build, train and tune your ML model, with a portal to actually see how your model works.

Dioptra diagnoses your model to identify failure modes like bias and drift; and uses active learning techniques to curate the best data to fix it.

QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models. QuickAI can reduce what would take tens of lines of code into 1-2 lines. This makes fast experimentation very easy and clean.

GallerAI application scans your images for objects and people and allows you to search by image contents in about 1k categories (e.g. 'food', 'animal', 'car', 'bottle', person names etc.).Application does all processing locally on your device.

Machine Learn-er Cat or Dog predictor mobile app.