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README.md
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---
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license: mit
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---
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---
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license: mit
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task_categories:
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- text-classification
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- text-generation
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language:
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- en
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tags:
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- code
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pretty_name: '*'
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size_categories:
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- 0.001M<n<0.0011M
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---
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# Modified Coco Dataset Files
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# Required dependencies
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```
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OpenCV (cv2):
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pip install opencv-python
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```
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# img_data.parquet (originally a psv)
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Extract of the coco dataset containing the following labels: ```["airplane", "backpack", "cell phone", "handbag", "suitcase", "knife", "laptop", "car"]```
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```
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Structured as follows:
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| Field | Description |
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| --------------- | --------------------------------------------------------------------------------------------------- |
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| file_name | Name of image file (.png) |
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| height | Image height prior to padding |
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| width | Image width prior to padding |
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| annotations | Array of boundary box array, label pairs. Bbox arrays are of the form [x_min, y_min, width, height] |
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1.09k rows
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```
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#/data (folder)
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This directory contains a selection of zero-padded COCO images that correspond to img_data.parquet.
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#display_boundary.py
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Mini gui for viewing images with their boundary boxes, don't need to pay attention to how it works, just run it:
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```
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python display_boundary.py
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```
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Input structured as follows:
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```
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x.png (where x is a file name)
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```
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