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"]
(300 of each)
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.
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