Feeding Future Generations With AI
May.
Identifying crop seedlings from weed seedlings can help incite specific weed control. We will use Deep Learning Studio (DLS) for building this deep learning model. You can learn more about this dataset by checking out the original paper at https://arxiv.org/abs/1711.05458 The processed dataset has been compiled for use with Deep Learning Studio and has a total of 4750 images with a resolution of 256x256. If you want to see how to implement a ResNet in Keras, checkout these repositories: https://github.com/raghakot/keras-resnet https://github.com/broadinstitute/keras-resnet Classifying Seedling Images With Resnet50 ResNet architectures (https://arxiv.org/abs/1512.03385 ) that use residual connections have been very successful at image classification tasks. Hyperparameters Finally, you can start the training from Training Tab and monitor the progress with training dashboard.