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Dataguess Poject Studio

A Computer Vision Solution for Everyone

Dataguess CV STUDIO

You can quickly and easily develop Dataguess' Computer Vision products on this platform without writing code. You can create as many data sets as you want and train and test dozens of different models.

You can take images from cameras with a single click or upload existing images to the system to train AI models.

You can quickly label the model you created with labeling tools and create a data set. You can deploy the trained models you have developed on any Edge device or in the cloud.

Kod yazmadan, hızlı ve kolay bir şekilde Dataguess’in Computer Vision ürünlerinin geliştirmelerini, üretim bandında gösteren görsel

What Can You Do with Dataguess CV Studio?

You can create Computer Vision Projects in CV Studio that are applicable in three distinct domains: Object-Oriented, Human-Oriented, and Marker-Oriented.

Creating a Dataset

The creation and labeling of datasets is crucial for Computer Vision applications in order to ensure that AI algorithms yield dependable and precise results. The following procedures are followed in order to create a dataset:

 

Data Collection: Gathering relevant data for the problem domain is the first step. With Dataguess CV Studio, gathering this data is simple and can include photos or videos captured by cameras or other sensors.

Data Pre-Processing: The collected data can be pre-processed to remove unwanted noise, distortions or errors, such as duplicate samples. *

Data Labeling: The labels applied to the image data you have gathered are based on the intended use of the application. To develop an object or human data for a project, all that is needed is to square it or mark it with multiple selection points. You can simply complete the labeling process using third-party data labeling applications in addition to Dataguess CV Studio.

Data Partitioning: Data is partitioned into training and test sets. While the training set is used to train the model, the test set is used to evaluate the model's performance. *

Data Enrichment: Data can be enriched to improve the performance of AI algorithms. Data can be improved using techniques such as contrast enhancement or color editing, for example. *

Data Minimization: Large datasets may require excessive memory usage and therefore slow down the model training process. Consequently, sampling techniques can be used to reduce the size of the dataset. *

In order for artificial intelligence models to produce accurate and reliable results, data set creation and labeling steps should be carried out carefully, and quality control should be performed.

 

Items marked with an asterisk (*) are completed automatically by Dataguess CV Studio. 

  Computer Vision uygulamaları için, veri seti oluşturmak gibi izlenen adımları imgeleyen görsel.

Creating a Computer Vision Project and Building an Artificial Intelligence Model

You can create any project without writing code using the five basic products included in Dataguess CV Studio.

 

Dataguess Inspector: Quality Control and Absence Detection

Dataguess Counter: Product Classification and Counting

Dataguess Observer: People Counting and Area Density Mapping

Dataguess Guard: OHS and Safety

Dataguess Tracer: Marker and Product Trolley Tracking

 

In order to prepare the artificial intelligence models that you develop as part of your project, you utilize the Model Creation Wizard to select the model and establish its parameters prior to training.

 

Model Selection: You should select a suitable CV model for the problem. When you do not make a selection, the model with the best performance is determined automatically. Dataguess Project Studio includes neural network-based models, particularly deep learning models. The size, structure, requirements, and application purpose of the dataset all play a role in the model choice.

Model Parameters Selection: The Model Creation Wizard allows you to select the parameters needed to train the dataset. The parameters that yield optimal performance are automatically determined when you don't make a selection. The model's accuracy and performance can be enhanced by adjusting parameters like learning rate, epoch count, and hyperparameters.

Computer vision ile Proje Yaratma ve Yapay Zeka Modeli Oluşturmasını imgeleyen görsel.

Artificial Intelligence Model Training

Dataguess CV Studio uses the model type and training parameters you enter in the Model Creation Wizard to carry out the training process.

 

A comparison is made between the performance of the model on the training data set and the test data set. Among other performance metrics, the accuracy, sensitivity, specificity, and F1 score of the model are assessed. Upon completion of training, these metrics are presented for your review in the model details. 

 

At this stage, protecting the model from overfitting issues and accurately evaluating its performance on the test set are critical for efficiency. The prediction performance of the model will improve as more data collection, model type, and training parameters are investigated.

 Dataguess computer vision Studio eğitimi model oluşturma sihirbazındaki model tipi ve eğitim parametrelerini imgeleyen görsel

Model Deployment

Easily deploy the model you trained in any of the Dataguess CV Studio products to a computer on the Edge or in the cloud.

Dataguess'in Computer Vison Proje Yayınlama, Edge'de veya Cloud'da bulunan bir bilgisayarda kolaylıkla yayınlamayı imgeleyen görsel

Main Features

You can upload, tag, and classify any photo or video using the labeling interface. You can also update datasets at any time.

Create Your Datasets and Your Computer Vision Library

Programming experience is not required to use Dataguess Inspector, a solution that has an intuitive user interface and does not require a lot of software knowledge. This sophisticated application is made to be equally useful for both software engineers and non-developers.

NO-CODE

You Don't Need to Know Coding

Programming experience is not required to use Dataguess Inspector, a solution that has an intuitive user interface and does not require a lot of software knowledge. This sophisticated application is made to be equally useful for both software engineers and non-developers.

Bir ürünü veya nesneyi dışarıdan destek almadan kolayca öğretebilir, revizyon yapabileceğinizi imgeleyen görsel

You can easily train your AI model without the need for external assistance, and when you make an update, you can retrain your model and keep using it.

Train as Many Models as You Need or Update Existing Ones

Dataguess Computer Vision Studio sık kullanılan haberleşme protokollerini desteklediğini imgeleyen görsel.

Dataguess CV Studio is compatible with standard communication protocols and can therefore be easily integrated into your existing IT systems.

Integrate into your IT Systems

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