What is DLHUB?
DLHUB is a deep learning studio that allows users to design, train, and validate deep learning models without any coding.
Users can develop deep learning models to tackle real-life industrial solutions by merely drag-and-drop techniques and utilizing the model verification feature.
It is ideal for engineers who do not have a profound knowledge of deep learning and Python or C# programming language.
How much does DLHUB cost>
DLHUB is free
Which dataset format does DLHUB support for training?
DLHUB currently supports 3 file formats for the training dataset
File Type 1: Classified Image Folder
File Type 2: FEATURE vs CATEGORY (csv or txt)
File Type 3: IMAGE MAP FILE (csv or txt)
Can I use GPU to train the model in DLHUB?
DLHUB supports both CPU and GPU as training engine. In GPU mode, DLHUB supports NVIDIA CUDA 10.x and 11.x
What's the difference between ODHUB and DLHUB?
ODHUB focuses on computer vision tasks that detect objects and localize objects on video streams or images.
DLHUB is more about generic deep-learning applications. You can use DLHUB for regression (prediction) and classification for any data, including images (without giving you a bounding box), audio signals, or tabula data formats.
In terms of detection accuracy, DLHUB and ODHUB are similar.
In terms of inference speed, DLHUB might be much faster than ODHUB as you only need to deal with classification problems (not localization problems).