| | --- |
| | title: OCR Demo |
| | emoji: 👀 |
| | colorFrom: green |
| | colorTo: yellow |
| | sdk: gradio |
| | sdk_version: 3.41.2 |
| | app_file: app.py |
| | pinned: false |
| | license: openrail |
| | --- |
| | |
| | Description: : |
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| | We present a demo for performing object segmentation using a model trained on OCR-Receipt dataset. The model was trained on 54 training images and validated on 15 images. |
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| | Usage : |
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| | You can upload receipt images, and the demo will provide you with your segmented image. |
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| | Dataset : |
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| | The dataset contains 77 images and is formatted in COCO style. To facilitate usage with YOLOv8-seg, we have converted it into YOLOv8 format. |
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| | -License: This dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0). |
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| | To access and download this dataset, please follow this link: https://universe.roboflow.com/study-0w9zw/ocr-receipt |
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| | Download Dataset: |
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| | To download the dataset we used, you can use the following command in colab : |
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| | !wget https://universe.roboflow.com/ds/2wX1s8oODv?key=5jT3f2JmuV |
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| | Feel free to explore and use this repository for your object segmentation needs. If you have any questions or need assistance, please don't hesitate to reach out |
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