Move It


Object Detection

train Computer Vision Project


4154 images
Explore Dataset

Here are a few use cases for this project:

  1. Virtual Interior Design: Use the "train" model to assist users in planning and visualizing interior layouts by recognizing and categorizing various furniture items, enabling them to easily rearrange and experiment with their living spaces.

  2. E-commerce Personalization: Implement the model in e-commerce platforms to identify and categorize furniture items in user-uploaded images, providing personalized recommendations based on the user's style preferences.

  3. Smart Home Automation: Integrate the model into smart home systems to recognize and categorize furniture items, allowing the system to manage and control connected devices specific to the identified furniture (e.g., turning on/off smart lights related to a particular table or lamp).

  4. Accessibility Assistance: Use the model to create smart tools that help visually impaired users navigate indoor spaces by identifying and describing furniture items, making the environment more accessible and safe.

  5. Furniture Inventory Management: Employ the model in retail environments to automatically identify and categorize furniture items for inventory management, simplification of stock counting processes, and efficient warehouse organization.

Cite this Project

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

@misc{ train-d3k7p_dataset,
    title = { train Dataset },
    type = { Open Source Dataset },
    author = { Move It },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-12-08 },

Find utilities and guides to help you start using the train project in your project.


Move It

Last Updated

4 months ago

Project Type

Object Detection




Bicycle, Bookcase, Cabinetry, Chest-of-drawers, bed, chair

Views: 98

Views in previous 30 days: 54

Downloads: 2

Downloads in previous 30 days: 1


CC BY 4.0