iix/mini_coco_linux

1---2license: mit3task_categories:4- text-classification5- text-generation6language:7- en8tags:9- code10pretty_name: '*'11size_categories:12- 0.001M<n<0.0011M13---14 15# mini coco dataset files16 17# Required dependencies 18 19```20OpenCV (cv2)21 22matplotlib23 24ipywidgets25```26 27 28# img_data.psv29 30Extract of the coco dataset containing the following labels: ```["airplane", "backpack", "cell phone", "handbag", "suitcase", "knife", "laptop", "car"]```  (300 of each)31 32```33Structured as follows:34 35| Field           | Description                                                                                         |36| --------------- | --------------------------------------------------------------------------------------------------- |37| file_name       | Name of image file (.png)                                                                           |38| height          | Image height prior to padding                                                                       |39| width           | Image width prior to padding                                                                        |40| annotations     | Array of boundary box array, label pairs. Bbox arrays are of the form [x_min, y_min, width, height] |41 421.09k rows43```44 45 46# /data (folder)47 48This directory contains a selection of zero-padded COCO images that correspond to img_data.parquet, image names are of the following format:49```50xxxxxx.png51```52 53 54# display_boundary.py55 56Allows images to be viewed with their boundary boxes, don't need to pay attention to how it works.57 58```59- Intended to run in tandem with jupyter notebook. 60 61- Takes img_name.png as input, inspect img_data.psv or /data for image names.62 63```64 65 66If you have any questions or issues, feel free to keep them to yourself.