| ResistorDataset - v1 2021-11-02 9:05pm | |
| ============================== | |
| This dataset was exported via roboflow.com on December 7, 2022 at 8:42 AM 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 unstructured image data | |
| * annotate, and create datasets | |
| * export, train, and deploy computer vision models | |
| * use active learning to improve your dataset over time | |
| It includes 135 images. | |
| Resistor are annotated in COCO format. | |
| The following pre-processing was applied to each image: | |
| * Auto-orientation of pixel data (with EXIF-orientation stripping) | |
| * Resize to 416x416 (Stretch) | |
| * Auto-contrast via adaptive equalization | |
| The following augmentation was applied to create 3 versions of each source image: | |
| * 50% probability of horizontal flip | |
| * 50% probability of vertical flip | |
| The following transformations were applied to the bounding boxes of each image: | |
| * 50% probability of horizontal flip | |
| * 50% probability of vertical flip | |
| * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down | |
| * Randomly crop between 0 and 20 percent of the bounding box | |
| * Random brigthness adjustment of between -25 and +25 percent | |
| * Salt and pepper noise was applied to 5 percent of pixels | |