OpenR8 AI software is with web user interface for AI algorithms which makes AI easy.
OpenR8 is AI software for everyone.
Welcome to contact Open Robot Club for quotation. And welcome to buy online in Open Robot Club website.
This Image-Object-Detection-MobileNetV2-SSD300-Caffe is based on the deep learning Caffe framework. The SSD (Single Shot MultiBox Detector) algorithm is used to train t
This is based on the deep learning Caffe framework. The SSD (Single Shot MultiBox Detector) algorithm is used to train the model. Then the trained model is used to dete
This Image-Object-Detection-MobileNetV1-SSD512-Caffe is based on the deep learning Caffe framework. The SSD (Single Shot MultiBox Detector) algorithm is used to train t
This Image-Classification-MobileNetV2-Caffe is using the Caffe framework, MobileNetV2 network architecture is used to train the model and to classify the images through
This Image-Classification-MobileNetV1-Caffe is using the Caffe framework, MobileNetV1 network architecture is used to train the model and to classify the images through
The inference result of using stochastic forest to predict stock price data.
This solution uses Keras UNet to learn. Most of the research on medical image segmentation is based on UNet. This is a split network consisting of two parts, feature ex
Image-Object-Detection-VGG16-SSD512-Caffe-VOC-Auto-Labeling solution is to output the result of the inference into the Pascal VOC XML format label file. The purpose is
Stock-Taiwan-XGBoost-Regression is a solution for Xgboost (eXtreme Gradient Boosting) and Regression to predict Taiwan's stock price.
This is using the Caffe framework, InceptionV4 network architecture is used to train the model and to classify the images through trained model.
This is using the Caffe framework, InceptionV3 network architecture is used to train the model and to classify the images through trained models.
FaceNet directly learns a mapping from face images to a compact Euclidean space where distances directly correspond to a measure of face similarity.
Xgboost (eXtreme Gradient Boosting) is one of the boosting algorithms. The idea of Boosting algorithm is to integrate many weak classifiers to form a strong classifier.
Conv1D is a 1D convolution layer. Filtering on a one-dimensional input signal is one of the common operations of deep learning. Here, we use Conv1D for data inference t
Xgboost (eXtreme Gradient Boosting) is a gradient boosting decision tree that can be used for classification or regression problems.
LSTM (Long short-term memory) is a special RNN. The LSTM is suitable for processing and predicting important events with very long intervals and delays in the time seri
[1] 2 3 4