P3rs0n-23 Object Detection Dataset and Pre-Trained Model by TIP Pson

Images

9838 images

Explore Dataset

Here are a few use cases for this project:

Social Media Content Moderation: The "P3rs0n-23" model could be used to automatically filter and categorize images on social media platforms. For instance, it could identify images with persons or bicycles, easing the process of content moderation and targeted advertisement.
Surveillance Systems: This model could be applied to enhance security systems. For example, it could alert authorities when a person or a bicycle is detected in specific areas (like no-pedestrian zones or bicycle-free zones), improving overall safety.
Smart City Planning: City planners could use this model to monitor the usage of public spaces, parks, or bike lanes. Tracking the movement of people and bicycles could provide rich data for city planning and development.
Advanced Driver-Assistance Systems (ADAS): The model could help in recognizing pedestrians and bicycles on the road, thereby aiding in collision avoidance and ensuring safety in semi-autonomous and autonomous vehicles.
Animal Care and Protection: Given its apparent ability to distinguish between different entities, including dogs, the model could be used in pet detection and tracking, thereby aiding animal rescue operations and population studies.

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{
                            p3rs0n-23_dataset,
                            title = { P3rs0n-23 Dataset },
                            type = { Open Source Dataset },
                            author = { TIP Pson },
                            howpublished = { \url{ https://universe.roboflow.com/tip-pson/p3rs0n-23 } },
                            url = { https://universe.roboflow.com/tip-pson/p3rs0n-23 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-24 },
                            }