|
|
| Tiny people detection RPI - v1 2023-09-18 2:46pm |
| ============================== |
|
|
| This dataset was exported via roboflow.com on February 10, 2024 at 7:28 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 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 1838 images. |
| People 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 640x640 (Stretch) |
|
|
| The following augmentation was applied to create 3 versions of each source image: |
| * Randomly crop between 0 and 67 percent of the image |
| * Salt and pepper noise was applied to 4 percent of pixels |
|
|
| The following transformations were applied to the bounding boxes of each image: |
| * Random shear of between -5° to +5° horizontally and -5° to +5° vertically |
|
|
|
|
|
|
