Service

Computer Vision

Teach machines to see what matters.

Image classification, object detection, and segmentation with YOLO, trained on your own data.

What’s included

Capabilities

  • CNN image classification
  • Object detection using YOLO
  • Instance segmentation using YOLO
  • Fine-tuning YOLO for custom object detection
  • Real-time video inference
  • Deployment
Typical tools
  • Python
  • PyTorch
  • Torchvision
  • YOLO
  • OpenCV
  • Roboflow
  • Fast ALPR
How it works

The process

01

Frame

Define what needs to be detected, classified, or segmented.

02

Train

Train CNN classifiers and fine-tune YOLO models on existing datasets.

03

Evaluate

Measure precision, recall, and mAP; study failure cases.

04

Deploy

Serve models for images, video streams, or APIs.