voxel51
Datasets
All datasets matching “voxel51”cholect50
CholecT50 Dataset (FiftyOne Format)
This is a FiftyOne dataset version of the CholecT50 dataset.
CholecT50 is a dataset of laparoscopic cholecystectomy surgeries, annotated with surgical action triplets. It is the first public dataset to provide action triplet annotations for surgical videos, enabling research in fine-grained surgical activity recognition.
Dataset Summary
CholecT50 consists of 50 videos of laparoscopic cholecystectomy surgeries. Each frame is annotated… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/cholect50.DeepPatent
Dataset Card for DeepPatent
This is a FiftyOne dataset with 46179 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/DeepPatent")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/DeepPatent.iam_handwriting_finevision
Dataset Card for finevision_iam
This is a FiftyOne dataset with 5663 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/iam_handwriting_finevision")
# Launch the App
session = fo.launch_app(dataset)
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/iam_handwriting_finevision.IndoorSceneRecognition
Dataset Card for IndoorSceneRecognition
The database contains 67 Indoor categories, and a total of 15620 images. The number of images varies across categories, but there are at least 100 images per category. All images are in jpg format.
This is a FiftyOne dataset with 15620 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/IndoorSceneRecognition.mvtec-ad
Dataset Card for MVTec AD
This dataset originates from MVTec but is provided in a different format. You can easily load it using FiftyOne
The total number of samples remains the same as the original: 5,354.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/mvtec-ad.American-Sign-Language-MNIST
Dataset Card for ASL-MNIST
This is a FiftyOne dataset with 34,627 samples of American Sign Language (ASL) alphabet images, converted from the original Kaggle Sign Language MNIST dataset into a format optimized for computer vision workflows.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/American-Sign-Language-MNIST.