tape one

Object Detection

tape one Computer Vision Project


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Here are a few use cases for this project:

  1. Automotive Inventory Management: Tape one can be utilized to identify the different classes of cars and their manufacturing dates, helping car dealerships, manufacturers, and repair shops to better organize their inventory and track car components accordingly.

  2. Smart Grocery Shopping: The model can be employed in grocery stores and supermarkets to identify different types of nuts (hazelnut, fig) and date products on shelves. This can further help in automating stock management, enabling efficient product tracking and simplifying the shopping experience for customers, e.g., through image-based search functionality within a store's mobile application.

  3. Unique Cooking Application: Tape one can be incorporated into a culinary app that automatically identifies ingredients like dates, hazelnuts, and figs from user-taken images, enabling users to search for specific recipes incorporating these ingredients, track their shopping lists, and get inspired by relevant cooking ideas.

  4. Nutrient Analysis and Dietary Guidance: The model can aid in the development of diet and nutrition management systems where users can simply take images of the dates, hazelnuts, and figs in their meals. Tape one can then identify these ingredients and provide accurate nutritional values for better tracking and analysis, helping users maintain a balanced diet.

  5. Insurance Claim Validation: By integrating Tape one into an insurance claim processing system, the model can automatically assess the object(s) depicted in the submitted images, such as a car with a specific manufacturing date or products containing dates, hazelnuts, or figs. The model would then provide relevant metadata to validate the insured items or help process claims related to car or property damages more efficiently.

Cite this Project

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

@misc{ tape-one_dataset,
    title = { tape one Dataset },
    type = { Open Source Dataset },
    author = { labelPicture },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { may },
    note = { visited on 2023-12-06 },

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



Last Updated

2 years ago

Project Type

Object Detection




date, fig, hazelnut

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CC BY 4.0