Datasets:
Tasks:
Object Detection
Size:
1K - 10K
| task_categories: | |
| - object-detection | |
| tags: | |
| - roboflow | |
| ### Roboflow Dataset Page | |
| https://universe.roboflow.com/asd-culfr/wlots | |
| ### Citation | |
| ``` | |
| @misc{ wlots_dataset, | |
| title = { wlots Dataset }, | |
| type = { Open Source Dataset }, | |
| author = { asd }, | |
| howpublished = { \\url{ https://universe.roboflow.com/asd-culfr/wlots } }, | |
| url = { https://universe.roboflow.com/asd-culfr/wlots }, | |
| journal = { Roboflow Universe }, | |
| publisher = { Roboflow }, | |
| year = { 2022 }, | |
| month = { may }, | |
| note = { visited on 2022-12-29 }, | |
| } | |
| ``` | |
| ### License | |
| CC BY 4.0 | |
| ### Dataset Summary | |
| This dataset was exported via roboflow.com on December 28, 2022 at 8:08 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 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 4454 images. | |
| Ct-cthead-t-thead 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 (Fill (with center crop)) | |
| The following augmentation was applied to create 3 versions of each source image: | |
| * Random brigthness adjustment of between -15 and +15 percent | |