datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
medical-imaging-combined
Combined Medical Imaging Dataset
Dataset Description
Combined medical imaging dataset with 6793 samples in Alpaca instruction format.
Dataset Statistics
Total Samples: 6793
Training Samples: 5434
Validation Samples: 1359
Modality Distribution
X-ray: 2691 samples
CT: 2257 samples
Unknown: 1329 samples
MRI: 369 samples
Ultrasound: 147 samples
Source Distribution
ROCO: 5000 samples
VQA-RAD: 1793 samples
Sources
ROCO… See the full description on the dataset page: https://huggingface.co/datasets/teeyouteeyou/medical-imaging-combined.ChartQADataset is converted from https://github.com/vis-nlp/ChartQA
vin là tập đã dịch các qa3000 là tập các chart đã dịch
Disclaimer: This model is provided "as-is" without any warranties. The authors are not responsible for any misuse or damages arising from its use.
kids-and-teens-selfie-dataset
Age Estimation
The dataset consists of 6,000 high-quality facial images from 300 people (children and teenagers), featuring a diverse range of facial features, poses, and attributes. It is designed for research and development in age estimation, facial recognition for younger demographics, and understanding media use patterns on social media platforms.
By utilizing this dataset, researchers and developers can advance their models for responsible technology, ensuring safer… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/kids-and-teens-selfie-dataset.CAFE
CAFE: Counterfactual Attribute Factuality Evaluation
CAFE (Counterfactual Attribute Factuality Evaluation) is a benchmark for evaluating concept-faithful grounding in promptable segmentation models. Given a counterfactually edited image and a text prompt, a model must determine whether the queried concept is semantically valid for the target region and, if so, produce a precise segmentation mask.
Dataset: huggingface.co/datasets/teemosliang/CAFE
Evaluation toolkit:… See the full description on the dataset page: https://huggingface.co/datasets/teemosliang/CAFE.Pokemon-Captioning-ClassificationDisclaimer: This model is provided "as-is" without any warranties. The authors are not responsible for any misuse or damages arising from its use.
Food-Ingredient"Eyes on Eats," aims to address the challenge many individuals face when they are unsure of what to cook with the ingredients available. This uncertainty often leads to wasted time contemplating meal options or even unnecessary spending on ordering food. "Eyes on Eats" offers a solution by employing advanced deep learning techniques in object detection and text generation. By analyzing images of ingredients, the system generates personalized recipes tailored to the user's available… See the full description on the dataset page: https://huggingface.co/datasets/Teen-Different/Food-Ingredient.booktok-baby-teethnutrition5k-food-name-geminiteeth-detectshark-teeth-5atku
Dataset Card for shark-teeth-5atku
** The original COCO dataset is stored at dataset.tar.gz**
Dataset Summary
shark-teeth-5atku
Supported Tasks and Leaderboards
object-detection: The dataset can be used to train a model for Object Detection.
Languages
English
Dataset Structure
Data Instances
A data point comprises an image and its object annotations.
{
'image_id': 15,
'image': <PIL.JpegImagePlugin.JpegImageFile image… See the full description on the dataset page: https://huggingface.co/datasets/Francesco/shark-teeth-5atku.Facial-Expression
Facial Expression Dataset
Description
This dataset contains images of human faces categorized by emotional expression. It is intended for training and evaluating models for facial expression recognition.
Structure
The dataset is divided into two main folders:
train: Contains images for training the model.
test: Contains images for evaluating the model.
Both train and test folders contain subfolders for each of the 7 emotion categories:
angry
disgusted… See the full description on the dataset page: https://huggingface.co/datasets/Teen-Different/Facial-Expression.teethsegmentation
Dataset Card for "teethsegmentation"
More Information needed
imnet1k_jersey_T-shirt_tee_shirtTeeth_Segmentation_Panoramicteenage-engineeringhd-teens-videoHack5osworld_gimp_taskteenager5k-teensViChartMain_teeth_datasetdataset1_vi_multeethdataset1_vi_v2LLAVA_CoT_o1_Instruct_Thaicali-teenskids-and-teens-selfie-dataset
Age Estimation - 6,000 Photos
Dataset contains 9,000 high-quality facial images of children and teenagers aged 7–15, designed for age estimation, facial recognition, and anti-spoofing research. Its primary application is supporting the development of robust age estimation models, improving facial analysis for younger demographics, and studying social media usage patterns. — Get the data
Dataset characteristics:
Characteristic
Data
Description
Photos of… See the full description on the dataset page: https://huggingface.co/datasets/ud-biometrics/kids-and-teens-selfie-dataset.cfnm-teensgive-me-teens