Advanced image analysis made easy
Wolution has an integrated label editor to make the generation of training examples by hand as fast and convenient as possible. You can often get good training results already with a few hand labeled images.
After you finish labeling your training data set, you can start the automatic training process. Training will take one hour to several hours, using our deep learning technology.
After the training is finished you can use the new algorithm. Images can now be analyzed within seconds. You can then download the labelled image and useful statistical information about the objects and segmentation.
Cutting-edge machine learning algorithms
Segmentation and Object detection
Wolution offers all main tasks of deep learning based image analysis:
- Segmentation. In segmentation each pixel is assigned a class.
- Object detection. In object detection, all objects in a given class are masked with a bounding box.
- Instance segmentation. Instance segmentation is a hybrid of segmentation and object detection.
Algorithms that have won contests
We provide some of the most powerful deep learning algorithms developed until today, which have won many contests and demonstrated the highest quality.
- Deeplab with the ResNET101 network.
- Mask R-CNN with with Google's Inception network.
- Many others.
Extensive statistical results
Object and segmentation statistics
We provide a comprehesive list of available statistics, like color, intensity, orientation, position etc. of the objects and areas. You can chose as many as you need of these to customize your results.
Statistics can be viewed in the statistics browser, for the entire image, segmentation classes and single objects.
CSV and PDF files
All statistics can also be downloaded in convenient CSV and PDF files, which summarize the results of all images in your analysis and also give per image and per object results.