Model Card for detr doc table detection Model Details detr doc table detection is a model trained to detect both Bordered and Borderless tables in documents, based on facebook/detr resnet 50. Developed by: Taha Douaji Shared by [Optional]: Taha Douaji Model type: Object Detection Language(s) (NLP): More information needed License: More information needed Parent Model: facebook/detr resnet 50 Resources for more information: Model Demo Space Associated Paper Uses Direct Use This model can be used for the task of object detection. Out of Scope Use The model should not be used to intentionally create hostile or alienating environments for people. Bias, Risks, and Limitations Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups. Recommendations Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Training Details Traini…
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