--- task_categories: - image-segmentation tags: - roboflow - roboflow2huggingface ---
aghent/copiapoa-cactis
### Dataset Labels ``` ['copiapoa'] ``` ### Number of Images ```json {'valid': 1071, 'test': 1004, 'train': 7925} ``` ### How to Use - Install [datasets](https://pypi.org/project/datasets/): ```bash pip install datasets ``` - Load the dataset: ```python from datasets import load_dataset ds = load_dataset("aghent/copiapoa-cactis", name="full") example = ds['train'][0] ``` ### Roboflow Dataset Page [https://universe.roboflow.com/uai-63qde/copiapoa-instance-segmentation/dataset/2](https://universe.roboflow.com/uai-63qde/copiapoa-instance-segmentation/dataset/2?ref=roboflow2huggingface) ### Citation ``` @misc{ copiapoa-instance-segmentation_dataset, title = { Copiapoa Instance Segmentation Dataset }, type = { Open Source Dataset }, author = { UAI }, howpublished = { \\url{ https://universe.roboflow.com/uai-63qde/copiapoa-instance-segmentation } }, url = { https://universe.roboflow.com/uai-63qde/copiapoa-instance-segmentation }, journal = { Roboflow Universe }, publisher = { Roboflow }, year = { 2023 }, month = { dec }, note = { visited on 2023-12-02 }, } ``` ### License CC BY 4.0 ### Dataset Summary This dataset was exported via roboflow.com on December 2, 2023 at 1:33 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 10000 images. Copiapoa-copiapoav2 are annotated in COCO format. The following pre-processing was applied to each image: No image augmentation techniques were applied.