Update README.md

README.md

@@ -225,4 +225,55 @@ configs:
     path: data/train-*
   - split: test
     path: data/test-*
+task_categories:
+- image-classification
+size_categories:
+- 10K<n<100K
 ---
+# CUB-200-2011
+
+This dataset contains the Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset, from [here](https://www.vision.caltech.edu/datasets/cub_200_2011/).
+
+Each example consists of an image, a label, and a bounding box.
+
+### Data Splits
+
+The CUB-200-2011 dataset has 2 splits: _train_ and _test_. 
+
+| Dataset Split | Number of Instances in Split                |
+| ------------- | ------------------------------------------- |
+| Train         | 5,994                                       |
+| Test          | 5,794                                       |
+
+There are 200 classes, with either 29-30 examples per class in the train split. The test split has more variable of examples per class, most are 29-30 but there are some with fewer (the lowest is 11).
+
+### Bounding Boxes
+
+Each bounding box is in the form of [x0, y0, x1, y1] and can be used as such:
+
+```python
+import datasets
+from PIL import Image, ImageDraw
+import matplotlib.pyplot as plt
+
+dataset = datasets.load_dataset("bentrevett/cub-200-2011")
+example = dataset["train"][0]
+
+image = example["image"]
+bbox = example["bbox"]
+draw = ImageDraw.Draw(image)
+draw.rectangle(bbox, outline="red", width=2)
+plt.imshow(image)
+```
+
+### Citation Information
+
+```
+@techreport{WahCUB_200_2011,
+	Title = ,
+	Author = {Wah, C. and Branson, S. and Welinder, P. and Perona, P. and Belongie, S.},
+	Year = {2011}
+	Institution = {California Institute of Technology},
+	Number = {CNS-TR-2011-001}
+}
+```