StackML

2018

StackML: In-Browser Machine Learning Simplified

Unleash the power of machine learning directly in your browser with StackML. Effortlessly integrate face detection, image classification, and more into your apps, all with no backend worries and real-time metrics.

Semrush rank:	38.7m
Location:	Bangalore, India
Tech Used:	Apache HTTP Server,

🤖 ai machine learning tools

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Features

Data Security: Your dataset stays private, never leaving your browser, ensuring top-notch security.
Deployment Flexibility: Once trained, easily download your model and deploy it anywhere using the StackML library.
TensorFlow.js Integration: StackML library acts as a convenient wrapper for TensorFlow.js, streamlining your workflow.
Zero Setup: Start building or training your model immediately with no infrastructure setup required.
Real-time Metrics: Monitor your model's training progress with live-updated training metrics.
View Your Data: Enjoy a visual representation of your dataset, making it easy to understand and modify.

Use Cases:

Face Detection Integration: Incorporate face detection features into applications with ease using the StackML face detection model.
Image Classification Solutions: Classify and analyze images on the fly within your web apps utilizing pre-trained or custom models.
Emotion and Pose Analysis: Enrich your app's interactivity by detecting facial expressions, landmarks, and body poses in real time.
Custom Model Training: Train your unique machine learning models in-browser, leveraging simple templates and your own datasets.

StackML offers a seamless, secure, and efficient way to bring machine learning to your web applications with its user-friendly interface and powerful in-browser capabilities.