Label, train, and deploy. One platform.

From raw images to production models — fast. Powerful tools for object detection, instance segmentation, and custom CV pipelines. Train on cloud GPUs, export ONNX for edge deployment.

MLPractitioners CV Platform Preview

Get to production in three steps

No complex setup. Upload your data, train a model, and deploy it — all from your browser.

1

Upload & Label

Upload images and annotate them with bounding boxes or masks using our built-in labeling tools.

2

Train Models

Launch training with one click on cloud GPUs. Choose object detection or segmentation tasks.

3

Deploy Anywhere

Export to ONNX and deploy to browsers, mobile devices, or edge hardware — no API calls needed.

Everything you need for computer vision

A complete toolkit to go from raw images to deployed models, all under one roof.

Object Detection

Draw bounding boxes, train YOLO-based detection models, and export to ONNX for fast edge inference.

Instance Segmentation

Pixel-level precision with brush and polygon mask tools. Get detailed boundaries for area measurement and defect mapping.

Cloud GPU Training

One-click model training on cloud GPUs. No infrastructure to manage — just label, click, and train.

ONNX Export

Export trained models to ONNX format. Run inference in the browser, on mobile, or on edge devices — entirely offline.

Built-in Labeling Tools

Annotate images directly in the platform with bounding box, polygon, and brush tools. No separate labeling software needed.

Unlimited Projects

Create as many projects as you need. Organize datasets, labels, and models across different use cases.

Built for teams and individuals

Whether you're a solo developer or part of an enterprise, our platform scales with you.

Startups & Enterprises

Solve computer vision challenges, optimize ML pipelines, and scale your products with custom detection and segmentation models.

Data Scientists & ML Engineers

Skip the boilerplate. Go from labeled dataset to deployed model without managing infrastructure or writing training loops.

Researchers & Academics

Rapidly iterate on experiments. Label data, train models, and evaluate results in a single integrated environment.

Hobbyists & Learners

Learn computer vision hands-on. Build real projects with object detection and segmentation — no ML expertise required.

Simple, transparent pricing

One subscription. Everything included. No hidden fees.

Monthly Subscription
$9 USD
per month
  • Unlimited projects
  • 1,000 training tokens per month
  • Full labeling tools (boxes & masks)
  • Cloud GPU model training
  • ONNX export for edge deployment
  • Cancel anytime
View Pricing

Frequently asked questions

What are training tokens?

Tokens are used for GPU compute time when training models. Your subscription includes 1,000 tokens per month. Need more? Token bundles will be available for purchase.

How do I deploy trained models?

Export to ONNX format for browser inference (via ONNX Runtime), mobile apps (iOS/Android), or edge devices. Models run locally without API calls.

Can I cancel anytime?

Yes. Cancel anytime from your dashboard. You keep access until the end of your billing period and can export all your data.

Is my data secure?

Yes. All data is encrypted in transit and at rest on secure cloud servers. See our Privacy Policy for full details.

What model architectures are supported?

We currently support YOLO-based architectures for both object detection and instance segmentation, optimized for fast training and edge deployment.

Ready to build your CV models?

Start labeling, training, and deploying computer vision models in minutes.

Get Started