datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Egocentric_10K_Evaluation
Dataset Card for Egocentric_10K_Evaluation
This is a FiftyOne dataset with 30000 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/Egocentric_10K_Evaluation")
# Launch the App
session = fo.launch_app(dataset)
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/Egocentric_10K_Evaluation.egocentric-affordance-dataset
Egocentric Affordance Dataset
A large-scale dataset of 48,400 annotated egocentric video frames across 5 real-world activity categories, annotated with fine-grained affordance labels using Qwen3-VL-2B vision-language model. Designed for training and evaluating embodied AI systems, robotic manipulation models, and vision-language models (VLMs) that reason about human-object interactions.
Dataset Summary
Metric
Value
Total Frames
48,400
Valid Affordance Labels… See the full description on the dataset page: https://huggingface.co/datasets/Kavin60606/egocentric-affordance-dataset.