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# **VOC2012 Image and Annotation Visualization** Notebook |
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**Github**: https://github.com/ikaankeskin/MLXdatasets/tree/main/ObjectDetection/PASCAL |
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**HuggingFace**: https://huggingface.co/datasets/ikaankeskin/PASCAL_MLX |
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This repository contains a tool that facilitates the download, extraction, and visualization of the VOC2012 dataset, complete with bounding box annotations extracted from associated XML files. |
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## **Features** |
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- **Automated Dataset Download**: Fetches the VOC2012 dataset from Hugging Face's repository in ZIP format. |
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- **ZIP Extraction**: Conveniently unzips the downloaded dataset to provide access to images and their annotations. |
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- **Image Visualization**: Displays a select set of images from the dataset for preliminary visualization. |
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- **XML Annotation Processing**: Reads corresponding XML annotation files for chosen images. |
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- **Bounding Box Overlay**: Draws bounding boxes around annotated objects on the images, enhancing visualization. |
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- **Annotation Table Display**: Offers a structured view of extracted details from XML annotations in tabular format. |
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``` |
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- **Python**: Version 3.x |
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- **Libraries**: As specified in **`requirements.txt`**, which includes: |
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- requests |
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- tqdm |
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- pandas |
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- matplotlib |
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- opencv-python |
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## **Object Filters for Visualizations** |
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The tool comes equipped with a specific color mapping that governs the visual representation of certain objects when overlaying bounding box annotations on images. The current mapping is coded as: |
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```python |
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color_mapping = {'train': (0, 255, 0), 'person': (0, 0, 255)} |
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``` |
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This implies: |
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- 'train' objects are rendered with **green** bounding boxes (RGB: **`(0, 255, 0)`**). |
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- 'person' objects are visualized with **blue** bounding boxes (RGB: **`(0, 0, 255)`**). |
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Objects not included in this mapping will not receive bounding boxes during visualization. For incorporating additional object types or altering existing color configurations, users can edit or extend the **`color_mapping`** dictionary. For instance, to visualize 'car' objects in red, an entry **`'car': (255, 0, 0)`** can be added. |