faydam

iecobos2.2

Object Detection

iecobos2.2 Computer Vision Project

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Cite This Project

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

@misc{
                            iecobos2.2_dataset,
                            title = { iecobos2.2 Dataset },
                            type = { Open Source Dataset },
                            author = { faydam },
                            howpublished = { \url{ https://universe.roboflow.com/faydam-6itxh/iecobos2.2 } },
                            url = { https://universe.roboflow.com/faydam-6itxh/iecobos2.2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { feb },
                            note = { visited on 2024-05-15 },
                            }
                        

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Source

faydam

Last Updated

2 years ago

Project Type

Object Detection

Subject

ieco2

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Views in previous 30 days: 0

Downloads: 0

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

bos el mavicam-uludagpremium-250 metal-efespilsen-1000 metal-redbull-250 metal-tuborggold-500 plastik-cocacola-1000 plastik-damla-500 plastik-ozkaynak-330 seffafcam-uludagefsane-250 seffafcam-uludagextra-250-ormanmeyveli seffafcam-uludagextra-250-yesillimon yesilcam-kizilay-200 yesilcam-ozkaynak-200 yesilcam-uludagfrutti-200-elma yesilcam-uludagfrutti-200-kivi yesilcam-uludagfrutti-200-limon yesilcam-uludagfrutti-200-nar yesilcam-uludagfrutti-200-seftali