Action Localization Object Detection Dataset and Pre-Trained Model by University of Wisconsin Madison MINLAB

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Explore Dataset

Here are a few use cases for this project:

Assembly Line Inspection: The "Action Localization" computer vision model can aid in identifying and monitoring the use of certain tools or components in an industrial assembly line. It can help determine if any essential parts are missing during assembly, such as a motherboard, PCI, cables, etc., and also spot human errors, increasing accuracy and quality control.
Security Surveillance: The model can be used in surveillance systems to detect illicit behavior in restricted areas. For example, it can identify a person attempting to tamper with or illegally take sensitive components like motherboards, guns, cables, etc. in restricted areas such as data centers.
Tech Support and Troubleshooting: The algorithm can assist support teams by identifying components within technical hardware, like computers or data centers. If a user is trying to explain a problem but lacks relevant technical knowledge, visual recognition of issues like a missing cable or misplaced motherboard can simplify the process.
Laboratory Supply Management: It can be used in labs to manage and keep track of RSSD trays, cables, and other lab equipment. For example, detecting if a piece of equipment is not in its rightful place, or tools are not returned to their trays.
Technical Training Program: The algorithm can be used for training purposes in technical institutes for IT hardware and software science students. It can help in recognizing and understanding different hardware components in a system.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            action-localization_dataset,
                            title = { Action Localization Dataset },
                            type = { Open Source Dataset },
                            author = { University of Wisconsin Madison MINLAB },
                            howpublished = { \url{ https://universe.roboflow.com/university-of-wisconsin-madison-minlab/action-localization } },
                            url = { https://universe.roboflow.com/university-of-wisconsin-madison-minlab/action-localization },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-27 },
                            }