MatteoOmenetti
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README.md
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---
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license: mit
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---
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license: mit
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base_model:
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- google/efficientnet-b0
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---
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# EfficientNet-B0 Document Image Classifier
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This is an image classification model based on **Google EfficientNet-B0**, fine-tuned to classify input images into one of the following 16 categories:
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1. **bar_chart**
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2. **bar_code**
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3. **chemistry_markush_structure**
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4. **chemistry_molecular_structure**
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5. **flow_chart**
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6. **icon**
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7. **line_chart**
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8. **logo**
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9. **map**
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10. **other**
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11. **pie_chart**
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12. **qr_code**
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13. **remote_sensing**
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14. **screenshot**
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15. **signature**
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16. **stamp**
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## Citation
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If you use this model in your work, please cite the following papers:
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```
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@article{Tan2019EfficientNetRM,
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title={EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks},
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author={Mingxing Tan and Quoc V. Le},
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journal={ArXiv},
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year={2019},
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volume={abs/1905.11946}
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}
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@techreport{Docling,
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author = {Deep Search Team},
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month = {8},
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title = {{Docling Technical Report}},
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url={https://arxiv.org/abs/2408.09869},
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eprint={2408.09869},
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doi = "10.48550/arXiv.2408.09869",
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version = {1.0.0},
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year = {2024}
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}
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```
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