RESAV

Food_ECUSTFD

Object Detection

Food_ECUSTFD Computer Vision Project

Images

2960 images
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Cite This Project

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

@misc{
                            food_ecustfd_dataset,
                            title = { Food_ECUSTFD Dataset },
                            type = { Open Source Dataset },
                            author = { RESAV },
                            howpublished = { \url{ https://universe.roboflow.com/resav/food_ecustfd } },
                            url = { https://universe.roboflow.com/resav/food_ecustfd },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-05-15 },
                            }
                        

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Source

RESAV

Last Updated

3 months ago

Project Type

Object Detection

Subject

Food

Views: 1

Views in previous 30 days: 1

Downloads: 0

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

* annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 17 18 19 ============================== Calorie Estimation - v2 load labels Food are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset, No image augmentation techniques were applied. Roboflow is an end-to-end computer vision platform that helps you The dataset includes 2978 images. The following pre-processing was applied to each image: This dataset was exported via roboflow.com on February 14, 2024 at 12:19 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com coin visit https://github.com/roboflow/notebooks