| Buildings Instance Segmentation - v1 raw-images | |
| ============================== | |
| This dataset was exported via roboflow.com on January 16, 2023 at 9:09 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 9665 images. | |
| Buildings are annotated in COCO format. | |
| The following pre-processing was applied to each image: | |
| * Auto-orientation of pixel data (with EXIF-orientation stripping) | |
| No image augmentation techniques were applied. | |