24,167 datasets found

A binary imbalanced classification dataset with 28 × 28 grayscale images of 10 classes corresponding to fashion products.

A binary imbalanced classification dataset with 28 × 28 grayscale images of 10 classes corresponding to digits from 0 to 9.

CVBL video database for face recognition in videos

A dataset of 183 argumentative dialogues about 3 controversial topics: veganism, Brexit and COVID-19 vaccination.

Font generation experiment using GlyphGAN, including legibility, diversity, and style consistency evaluation.

The proposed StableVSR is built upon a pre-trained Latent Diffusion Model (LDM) for single image super-resolution (SISR). We use Stable Diffusion ×4 Upscaler (SD×4Upscaler)2. It...

The proposed StableVSR is built upon a pre-trained Latent Diffusion Model (LDM) for single image super-resolution (SISR). We use Stable Diffusion ×4 Upscaler (SD×4Upscaler)2. It...

The dataset used in the paper is a web-scale dataset for training a vision-language model. The dataset contains text-image pairs, and the authors propose a novel filter to...

The dataset used in the paper is a pre-trained ResNet-50 classifier, which is used for image synthesis, unpaired image-to-image translation, and feature similarity estimation.

ToyADMOS: A dataset of miniature-machine operating sounds for anomalous sound detection

A common assumption of novelty detection is that the distribution of both “normal” and “novel” data are static. This, however, is often not the case—for example scenarios where...

The dataset used in the paper for image deblurring tasks.

The dataset used in the paper is Kodak24, a dataset for image denoising.

LLaMA-AdapterV2: A parameter-efficient visual instruction model for text-image generation.

M2Chat is a novel unified multimodal LLM framework for generating interleaved text-image conversation across various scenarios.

The dataset used in this paper for hand-drawn symbol recognition of surgical flowsheet graphs with deep image segmentation.

The SFEW dataset is a subset of EmotiW2015 in-the-wild emotion dataset.

Label distribution learning on auxiliary label space graphs for facial expression recognition.

The dataset consists of a significant collection of 60,000 facial expression images, categorized into eight different classes, including neutral, happy, angry, sad, fear,...

Facial Expression Recognition (FER) is a classification task that points to face variants. Hence, there are certain affinity features between facial expressions, receiving lit-