11 Alternatives to ML Image Classifier
The ultimate image organizer for the Mac.
The visual notes app, now on iPhone!
A no-code Machine Learning solution. Made by teenagers.
As students in high school, we realised that even though it is amazing, machine learning is really difficult to implement into projects.
To remove the hassle we faced ourselves, we created MLBlocks.
-Train models with only 50 images per class
-Create them without expensive GPUs
-Deploy on any platform through our API
-NO CODE REQUIRED
A simple and powerful image organizer 🖼️
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.
The smartest way to organize your images
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.
An Android AR app for improving English literacy
Read My World is a Garage project by Microsoft interns for low literacy and English Language Learning adults. English learners can identify objects around them by taking photos of items and allowing Computer Vision APIs to detect and identify the object
Edit, organize, and share images anywhere, anytime
Accurate 3D point cloud segmentation to train your AI models
Playment's new release of 3D point cloud Segmentation toolkit enables you to generate high-quality training data to build 3D perception models.
Neat and clean image library Mac app for designers
Organize and search your favorite images on the internet
Search your gallery by image contents in your Android device
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.