| ---
|
| license: cc-by-nc-4.0
|
| pipeline_tag: object-detection
|
| datasets:
|
| - industoai/ScrewCount
|
| tags:
|
| - object-counting
|
| - ScrewCount
|
| library_name: pytorch
|
| ---
|
|
|
| # Description
|
| This model is the pretrained model for few shot deep approach used for counting screws and nuts in [ScrewCount](https://huggingface.co/datasets/industoai/ScrewCount).
|
|
|
| ## Code
|
| The complete code can be found [here](https://github.com/industoai/ScrewCount).
|
|
|
|
|
| ## License
|
| This model is licensed under the Attribution–NonCommercial 4.0 International License (CC BY-NC 4.0).
|
|
|
| ## Citation
|
| If you find this model useful, please consider citing the following paper:
|
| ```
|
| @conference{visapp26,
|
| author={Farnaz Delirie and Afshin Dini and Amirmasoud Molaei and Leila Sadeghi},
|
| title={ScrewCount: A Dataset and Benchmark for Exemplar Efficiency and Text-Guided Few-Shot Object Counting},
|
| booktitle={Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP},
|
| year={2026},
|
| pages={306-313},
|
| publisher={SciTePress},
|
| organization={INSTICC},
|
| doi={10.5220/0014236300004084},
|
| isbn={978-989-758-804-4},
|
| issn={2184-4321},
|
| }
|
| ```
|
|
|
|
|
