Update README.md

README.md

@@ -2,6 +2,13 @@ Fast Moving Object (FMO) Deblurring Benchmark
 ==========
 Simple Python library to evaluate your FMO deblurring methods.
 
+### Datasets
+
+All three datasets (TbD, TbD-3D, Falling Objects) can be downloaded by running (after modifying the data storage folder path):
+```bash
+bash download_datasets.sh
+```
+
 ### Usage
 
 Implement a function that takes as input image `I [w, h, 3]`, background `B [w, h, 3]`, bounding box of approximation FMO location, the required number of generated sub-frames `n` (temporal super-resolution), and an approximate object size. Your method should output temporal super-resolution mini-video of size `[w, h, 3, n]`. Optionally, if you want to evaluate trajectory accuracy, output the sub-frame object trajectory of size `[2, n]` or `None`.