updated ReadME

README.md

@@ -3,5 +3,17 @@
 
 Detectron2 is Facebooks new library that implements state-of-the-art object detection algorithm. This repository shows you how to use Detectron2 for both inference as well as using transfer learning to train on your own data-set.
 
+## Installation
+
+See the official [installation guide](https://github.com/facebookresearch/detectron2/blob/master/INSTALL.md).
+
+## Inference with pre-trained model
+
+Using a pre-trained model for inference is as easy as loading in the cofiguration and weights and creating a predictor object. For a example check out [Detectron2_inference_with_pre_trained_model.ipynb](Detectron2_inference_with_pre_trained_model.ipynb).
+
+## Training on a custom dataset
+
+Training a model on a custom dataset is a bit more challenging because it requires that we [register our dataset](https://detectron2.readthedocs.io/tutorials/datasets.html#register-a-dataset). For a example showing you how to train a balloon detection model check out [Detectron2_train_on_a_custom_dataset.ipynb](Detectron2_train_on_a_custom_dataset.ipynb).
+
 ## Author
  **Gilbert Tanner**