datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cocoa_agroforestry_multispectral
Cocoa Agroforestry Multispectral
An unlabeled image dataset of Cocoa Agroforestry Multispectral. The dataset contains 1,272 images with no classification, segmentation, or bounding-box annotations.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{lammoglia2024high,
title={High-resolution multispectral and RGB dataset from UAV surveys of ten cocoa agroforestry typologies in Côte d'Ivoire}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/cocoa_agroforestry_multispectral.CocoGlide
CocoGlide Dataset Card
Dataset Description
This dataset is a reformatted version of CocoGlide, a local image forgery detection and localization dataset associated with the paper TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization.
CocoGlide is built from images in the MS-COCO validation set. The fake images are generated by applying GLIDE-based text-guided inpainting to local image regions. Each manipulated image is paired with a… See the full description on the dataset page: https://huggingface.co/datasets/nebula/CocoGlide.cocoxgen
COCOXGEN
This repository provides the benchmark dataset COCOXGEN for evaluating image fake detection performance.
COCOXGEN has been presented in the paper "Human vs. AI: A Novel Benchmark and a Comparative Study on the Detection of Generated Images and the Impact of Prompts".
Usage
The dataset is provided in three different directories, indicating the source of the corresponding images: Real COCO images, images generated with FOOCUS and images generated with SDXL.
The… See the full description on the dataset page: https://huggingface.co/datasets/heikeadel/cocoxgen.coco-piccoco-piccoco-cmfd
COCO-CMFD
A synthetic copy-move forgery dataset generated from MS-COCO 2017, with
source/target-separated ground truth for copy-move forgery detection
(CMFD).
Each sample takes one annotated COCO object, applies a mild affine
transform, and pastes it elsewhere in the same image at a location
that passes scene-plausibility checks (support surface, horizon band,
perspective scale, occlusion). Ground truth is provided as a 3-class
trimap, a binary mask, a 16 px patch-label grid… See the full description on the dataset page: https://huggingface.co/datasets/harshitajainn/coco-cmfd.AdaEval-Jigsaw-COCO
Jigsaw COCO Dataset
Dataset Description
This dataset contains jigsaw puzzle tasks based on COCO images. The task is to identify which image piece correctly completes a given jigsaw puzzle.
Dataset Summary
Total samples: 1000
Task: Visual spatial reasoning with jigsaw puzzles
Splits:
test: 1000 samples
Task Description
Given a jigsaw puzzle image with one missing piece and three candidate pieces (A, B, C), the model needs to identify which piece… See the full description on the dataset page: https://huggingface.co/datasets/AdaReasoner/AdaEval-Jigsaw-COCO.