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img-cables

Images for the open-cv training

Cables-TY4 - v1 2023-03-01 1:05pm

This dataset was exported via roboflow.com on March 1, 2023 at 4:12 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 301 images. Cables are annotated in YOLO v3 Darknet format.

The following pre-processing was applied to each image:

  • Auto-orientation of pixel data (with EXIF-orientation stripping)
  • Resize to 416x416 (Stretch)

The following augmentation was applied to create 3 versions of each source image:

  • 50% probability of horizontal flip
  • 50% probability of vertical flip
  • Randomly crop between 0 and 34 percent of the image
  • Random rotation of between -30 and +30 degrees

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