Train, Test, and Deploy
Vision Models in Minutes.

Upload your images, annotate directly in the browser, and launch state-of-the-art models on managed cloud infrastructure. From automated defect detection to site safety, we handle the backend so you can focus on results.

Start Building Free How It Works
$29/mo platform fee. Only pay to run models or for API costs.
Includes generous image upload limits to build your datasets worry-free.

Cloud Training Run

  • Dataset Size 1,204 Images
  • Architecture YOLO11m
  • Status Completed
  • Est. Accuracy 98.2% mAP

BUILDING THE NEXT GENERATION OF COMPUTER VISION

From Raw Images to API in Minutes

No machine learning degree required. Our platform is designed to make training world-class models as simple as clicking a button.

Bring Your Images

Upload your dataset and use our lightning-fast, built-in annotation tools to label objects, defects, or features directly in your browser.

1-Click Cloud Training

Train state-of-the-art models (like YOLO and RT-DETR) on powerful cloud GPUs effortlessly. We manage the complex infrastructure so you can focus on results.

Deploy Anywhere

Test your model instantly in our playground, export the raw weights to run on edge devices, or integrate it into your app via our secure REST API.

The Complete Computer Vision Arsenal

Explore our active modalities and view the roadmap for upcoming capabilities.

Instance & Semantic Segmentation

Available

Traces the exact, organic outline of an object at the pixel level to allow for precise area and volume measurements.

Outputs: Binary masks and exact X/Y polygon arrays.

Common Applications

  • Tracing tumor perimeters in medical imaging
  • Mapping drivable surfaces for autonomous driving
  • Calculating the exact area of paint scrapes for insurance

Object Detection

Available

Scans images to quickly locate specific features, draw bounding boxes, and count multiple distinct items.

Outputs: Class labels and [x_min, y_min, x_max, y_max] box coordinates.

Common Applications

  • Locating dents and scratches on vehicle panels
  • Counting out-of-stock gaps on grocery shelves
  • Estimating agricultural yields via drone imagery

Image Classification

Available

Evaluates an entire image to apply high-level labels without isolating specific spatial locations. Perfect for rapid triage.

Outputs: A simple dictionary of classes and confidence scores.

Common Applications

  • Sorting fleet vehicles as "Clean" or "Dirty"
  • Passing/failing manufactured parts on a conveyor belt
  • Automated content moderation for user uploads

Keypoint Detection (Pose)

Coming Soon

Predicts mathematical heatmaps to locate predefined structural landmarks and single-pixel nodes on an object.

Outputs: Ordered arrays of X/Y landmark coordinates.

Common Applications

  • Tracking biomechanical joint positions in sports
  • Finding physical corners to deskew documents
  • Verifying structural alignment in construction

Anomaly Detection

Coming Soon

An unsupervised model that learns the mathematical baseline of "normal" from pristine images and flags unexpected deviations.

Outputs: Anomaly score (0-1) and deviation heatmaps.

Common Applications

  • Finding microscopic flaws on silicon wafers
  • Spotting irregular thread weaves in textiles
  • Detecting dense, irregular shapes in security screening

Multi-Object Tracking

Coming Soon

Applies memory to object detection, using velocity algorithms to maintain persistent IDs as objects move across video frames.

Outputs: Box coordinates, labels, and persistent Track IDs.

Common Applications

  • Counting specific turn directions in traffic flows
  • Measuring customer dwell times in retail aisles
  • Monitoring industrial safety zones over time

3D Vision & Depth

Coming Soon

Analyzes shadows, focus, and camera parallax to translate 2D inputs into physical volume and real-world spatial distances.

Outputs: Distance depth maps and 3D point clouds.

Common Applications

  • Calculating shipping pallet volumes from mobile photos
  • Enabling autonomous forklift navigation
  • Placing virtual AR furniture accurately on floor planes

Generative & Synthetic Data

Coming Soon

Uses diffusion models and GANs to mathematically synthesize photorealistic training examples of incredibly rare defects.

Outputs: High-resolution, AI-generated image files.

Common Applications

  • Simulating defense hardware in rare weather conditions
  • Creating variations of rare industrial firing failures
  • Generating diverse virtual try-on examples for e-commerce

Image Restoration

Coming Soon

Pre-processing networks designed purely to denoise, sharpen, and fix lighting on garbage inputs before primary inspection.

Outputs: Upscaled, normalized, and high-contrast image files.

Common Applications

  • Upscaling blurry security frames to read license plates
  • Normalizing poor lighting on mobile user uploads
  • Denoising digitized legacy medical X-ray film

VisionInspect.AI Insights

Updates, tutorials, and computer vision news from our team.

View All Articles