Name: Landmark Detection v2 Dataset
License: https://creativecommons.org/licenses/by/4.0/

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Explore Dataset

Here are a few use cases for this project:

Educational Purposes: The "Landmark Detection v2" model can be used in educational contexts, particularly in helping children or learners with special needs identify different toys and objects. It could be incorporated into learning software or apps to help children recognize various objects and expand their vocabulary.
Smart Toy Inventory: Toy stores or warehouses can utilize this model to manage their inventory. The system can be programmed to identify the variety of toys in stock and automate the counting procedure, ensuring efficient inventory management.
E-commerce: Online shopping platforms could implement this model to tag products automatically. It can help classify toys quickly and correctly based on their types and add appropriate tags for better searchability by users.
Interactive Games Development: Game developers can use this model to create augmented reality (AR) games that incorporate real-world toys. It could identify specific toys and integrate them into the gameplay, thus enriching the gaming experience.
Loss Prevention in Retail: Retailers could use the model to monitor high-value toys like "reloj" and "tigresa" in their stores. The system could automatically detect the removal of these items from the shelf and send an alert to the staff, assisting in loss prevention.

Cite This Project

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

@misc{
                            landmark-detection-v2_dataset,
                            title = { Landmark Detection v2 Dataset },
                            type = { Open Source Dataset },
                            author = { Roborobos },
                            howpublished = { \url{ https://universe.roboflow.com/roborobos/landmark-detection-v2 } },
                            url = { https://universe.roboflow.com/roborobos/landmark-detection-v2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-06-29 },
                            }