datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
iNaturalist_v2
Dataset Card for Dataset Name
This dataset is comprised of 1,079 observations that were posted on the iNaturalist app. iNaturalist is a website and mobile app that 'aims to
provide a crowd-sourced identification system' for plants, insects, and animals.
Dataset Details
Dataset Description
For each of the 1,079 observations included in this dataset, there is information about the quality of the associated image (quality_grade), a species label… See the full description on the dataset page: https://huggingface.co/datasets/ba188/iNaturalist_v2.deepfake-detection-dataset-v2
Deepfake Detection Dataset V2
This dataset contains images and detailed explanations for training and evaluating deepfake detection models. It includes original images, manipulated images, confidence scores, and comprehensive technical and non-technical explanations.
Dataset Structure
The dataset consists of:
Original images
CAM visualization images
CAM overlay images
Comparison images
Labels (real/fake)
Confidence scores
Image captions
Technical and non-technical… See the full description on the dataset page: https://huggingface.co/datasets/saakshigupta/deepfake-detection-dataset-v2.INVOICE_ANNOTATION_V2urban-scenes-v2
Urban Scenes – Preprocessing Utilities
This repository contains helper scripts used during preprocessing and validation
of the Urban Scenes v2 dataset.
Contents
preprocess.py – feature normalization utilities
stats.ipynb – exploratory statistics
label_map.json – class label mapping
Notes
Raw data is not included due to licensing constraints.