The Goose Dataset is released on GitHub. In addition to the images and annotations, I also implemented some APIs that allow people to load the data similar to how they do with Keras built-in datasets. I hope this will make this dataset more compatible with many implementations that were tested on Keras datasets.
The 2016 paper Personal Recommendation Using Deep Recurrent Neural Networks in NetEase proposes a session-based recommender system for e-commerce based on a ...
ResNet is proposed in the 2015 paper Deep Residual Learning for Image Recognition to solve the problem of the increasing difficulty to optimize parameters in...
F-RankClass stands for Feature-Enhanced RankClass. It is an algorithm for joint text and image classification. The F-RankClass project began as a class proje...
After building the Goose Dataset and using it to run object detection experiments, I thought of another application with the dataset: generating artificial g...
