Roboflow Universe Mini Project E-waste

E-waste Computer Vision Project

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40 images

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

@misc{
                            e-waste-7hcef_dataset,
                            title = { E-waste Dataset },
                            type = { Open Source Dataset },
                            author = { Mini Project },
                            howpublished = { \url{ https://universe.roboflow.com/mini-project-k3r5p/e-waste-7hcef } },
                            url = { https://universe.roboflow.com/mini-project-k3r5p/e-waste-7hcef },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-04-29 },
                            }

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Source

Mini Project

Last Updated

4 months ago

Project Type

Object Detection

Subject

laptop-mobile-television-remote

Views: 61

Downloads: 2

License

CC BY 4.0

Classes

* Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 640x640 (Stretch) * 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 19 20 21 22 23 ============================== E-waste 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 77 images. The following pre-processing was applied to each image: To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com alexa battery computer e-waste management - v4 2023-05-19 11:32pm headphones laptop mobile radio remote television visit https://github.com/roboflow/notebooks watch

Object Detection Model snap