Update README.md

README.md

@@ -1,3 +1,64 @@
 ---
 license: mit
+task_categories:
+- text-classification
+- text-generation
+language:
+- en
+tags:
+- code
+pretty_name: '*'
+size_categories:
+- 0.001M<n<0.0011M
 ---
+
+# mini coco dataset files
+
+# Required dependencies 
+
+```
+OpenCV (cv2)
+
+matplotlib
+
+ipywidgets
+```
+
+
+# img_data.psv
+
+Extract of the coco dataset containing the following labels: ```["airplane", "backpack", "cell phone", "handbag", "suitcase", "knife", "laptop", "car"]```
+
+```
+Structured as follows:
+
+| Field           | Description                                                                                         |
+| --------------- | --------------------------------------------------------------------------------------------------- |
+| file_name       | Name of image file (.png)                                                                           |
+| height          | Image height prior to padding                                                                       |
+| width           | Image width prior to padding                                                                        |
+| annotations     | Array of boundary box array, label pairs. Bbox arrays are of the form [x_min, y_min, width, height] |
+
+1.09k rows
+```
+
+
+# /data (folder)
+
+This directory contains a selection of zero-padded COCO images that correspond to img_data.parquet, image names are of the following format:
+```
+xxxxxx.png
+```
+
+
+# display_boundary.py
+
+Allows images to be viewed with their boundary boxes, don't need to pay attention to how it works.
+
+Intended to run in tandem with jupyter notebook. 
+
+- Takes img_name.png as input, inspect img_data.psv or /data for image names.
+
+
+
+If you have any questions or issues, feel free to keep them to yourself.