Roboflow Universe project-uwlau 1

1 Computer Vision Project

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@misc{
                            1-d2o39_dataset,
                            title = { 1 Dataset },
                            type = { Open Source Dataset },
                            author = { project-uwlau },
                            howpublished = { \url{ https://universe.roboflow.com/project-uwlau/1-d2o39 } },
                            url = { https://universe.roboflow.com/project-uwlau/1-d2o39 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2024-05-03 },
                            }

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Source

project-uwlau

Last Updated

6 months ago

Project Type

Object Detection

Subject

Views: 21

Downloads: 3

License

CC BY 4.0

Classes

* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise * Random rotation of between -15 and +15 degrees * Randomly crop between 0 and 20 percent of the image * Resize to 416x416 (Stretch) 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 ============================== Food ingredient recognition - v4 2022-02-24 1:40pm Food-ingredient are annotated in YOLO v5 PyTorch format. It includes 3409 images. The following augmentation was applied to create 3 versions of each source image: The following pre-processing was applied to each image: This dataset was exported via roboflow.ai on February 24, 2022 at 6:44 AM GMT

Object Detection Model snap