Product Overview
Experience the best in each step of your deep learning project
Deep Learning Model Types
6 Types of Deep Learning Models
Neurocle Software provides 6 types(Classification, Segmentation, Object Detection, Anomaly Detection, OCR, and Rotation) of deep learning vision models.
Data Management
Efficient and secure data management
Upload an manage images in various formats. This data is safely stored on your local private network.
Data Management
Tag & Flag for efficient collaboration
Categorize and manage data conveniently with Tag & Flag. Group images by multicolored tags, and easily spot models and label sets by flags.
Preprocessing
Easy data preprocessing
Preprocess your images in many forms without additional software. Crop, rotate, and transform your images however you like.
Labeling
Convenient labeling :
Auto-labeling & Magic wand
Minimize labeling resources by using Auto-labeling that automatically finds the desired area and the Magic wand, a selection tool for specific areas. Other labeling tools are also supported to increase user convenience.
Model Training
One-click training
for various models
Anyone can create and optimize various deep learning models at the click of a button, even without knowledge of deep learning.
Model Design & Review
Design and Review Complex Models without Programming:
Flowchart & Inference Center
Predict inference results and review your project before deploying the models trained in Neuro-T/Neuro-X to Neuro-R for runtime inference.
Connect multiple models and display the predicted inference results in the GUI. Modify the model design until desired inference time is reached, minimizing trial and error during actual deployment.
Report
Clear results through automatic reporting
Simplify how you view and manage of training results. An automatically generated report displays the training results displayed in organized charts and tables.
Inference
Optimized application to the platform of choice
From low-spec embedded boards to CPUs and GPUs, optimize the trained model for various computing devices and OSs to deploy it on-site.