Name: 2022xunfei Dataset
License: https://choosealicense.com/licenses/mit/

Images

5159 images

Explore Dataset

Here are a few use cases for this project:

Home Inventory Management: The "2022xunfei" computer vision model can be used in applications that aim to manage household objects such as furniture (sha_fa, zhuo_yi, chuang), eating utensils (can_ju), and household appliances (dian_shi).
Personalized Shopping Experience: The model can support retail industry by delivering personalized shopping experiences. For instance, a user can click a picture of their living room, and the model can identify the existing furniture and suggest similar or complementary products.
Interactive Games: The model can be integrated into interactive games where players need to identify or interact with specific objects or characters (ren, chong_wu) within a virtual environment.
Smart Home Systems: The model can be utilized in the development of smart home systems that can recognize household objects and pets (chong_wu), aiding in creating more responsive and personalized home automation experiences.
Accessibility Tools: By identifying objects (shi_wu), people (ren), pets (chong_wu), and furniture, this model can help in developing applications for assisting visually impaired people, helping them understand their surroundings better.

Cite This Project

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

@misc{
                            2022xunfei_dataset,
                            title = { 2022xunfei Dataset },
                            type = { Open Source Dataset },
                            author = { 2022xunfei },
                            howpublished = { \url{ https://universe.roboflow.com/2022xunfei/2022xunfei } },
                            url = { https://universe.roboflow.com/2022xunfei/2022xunfei },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-06-16 },
                            }