diff --git a/flowdetection.v14i.yolov11 2/README.dataset.txt b/flowdetection.v14i.yolov11 2/README.dataset.txt new file mode 100644 index 0000000000000000000000000000000000000000..87876accbd781d67609ae7478e188089ef4952a4 --- /dev/null +++ b/flowdetection.v14i.yolov11 2/README.dataset.txt @@ -0,0 +1,6 @@ +# flowdetection > 2025-09-08 10:18am +https://universe.roboflow.com/igor-doroshchenko/flowdetection + +Provided by a Roboflow user +License: CC BY 4.0 + diff --git a/flowdetection.v14i.yolov11 2/README.roboflow.txt b/flowdetection.v14i.yolov11 2/README.roboflow.txt new file mode 100644 index 0000000000000000000000000000000000000000..fdc0ece64b539cf7cf7a8936ca9e020d0f64048b --- /dev/null +++ b/flowdetection.v14i.yolov11 2/README.roboflow.txt @@ -0,0 +1,31 @@ + +flowdetection - v14 2025-09-08 10:18am +============================== + +This dataset was exported via roboflow.com on October 16, 2025 at 7:00 PM GMT + +Roboflow is an end-to-end computer vision platform that helps you +* collaborate with your team on computer vision projects +* collect & organize images +* understand and search unstructured image data +* annotate, and create datasets +* export, train, and deploy computer vision models +* use active learning to improve your dataset over time + +For state of the art Computer Vision training notebooks you can use with this dataset, +visit https://github.com/roboflow/notebooks + +To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com + +The dataset includes 3337 images. +Flow-structures are annotated in YOLOv11 format. + +The following pre-processing was applied to each image: +* Grayscale (CRT phosphor) + +The following augmentation was applied to create 3 versions of each source image: +* Random brigthness adjustment of between -10 and +10 percent +* Random Gaussian blur of between 0 and 1 pixels +* Salt and pepper noise was applied to 0.49 percent of pixels + + diff --git a/flowdetection.v14i.yolov11 2/data.yaml 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