TestDetect Object Detection Dataset and Pre-Trained Model by Maxim Butyrin

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Explore Dataset

Here are a few use cases for this project:

Grocery Inventory Management: Retail businesses can use the TestDetect model to automate inventory management of their fresh produce section. By identifying various fruits and vegetables, it would help in keeping accurate inventory counts, tracking ripeness, and identifying items in need of restocking.
Smart Home Kitchen Applications: In smart kitchens, this model could be integrated into devices like refrigerators or smart storage bins to keep track of contents, flag items nearing expiration, and suggest grocery shopping lists or recipes based on available ingredients.
Automated Sorting in Agriculture: Farmers and food processing units could use TestDetect for sorting fruits and vegetables based on their type. This could help to speed up the sorting process, reduce manual labor and minimize errors.
Health and Nutrition Apps: Applications focused on diet and nutrition could use this model to identify fruits and vegetables taken in pictures by users to log their daily intake accurately. This can help in personalized dietary suggestions and maintaining a healthy lifestyle.
Educational Apps for Children: This model can be utilized in creating interactive and engaging educational applications where children can learn about different fruits and vegetables by taking pictures and receiving immediate feedback.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            testdetect-t17kk_dataset,
                            title = { TestDetect Dataset },
                            type = { Open Source Dataset },
                            author = { Maxim Butyrin },
                            howpublished = { \url{ https://universe.roboflow.com/maxim-butyrin-rk7jn/testdetect-t17kk } },
                            url = { https://universe.roboflow.com/maxim-butyrin-rk7jn/testdetect-t17kk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-26 },
                            }