datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
crowdsourced-sea-images-v2crowdsourced-sea-images
Dataset Card for Dataset Name
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/SEA-AI/crowdsourced-sea-images.Whole_Slide_ImagesFashionGEN_images_dataProduct-Search-Images-v0.1IMAGE_SCENE_LEBELLINGlung-and-colon-cancer-histopathological-imagesImages-Datasetbershka-imagesCrop_Disease_Images
Crop Disease Expert Annotations
1,092 crop images annotated by agricultural experts with ground truth diagnoses covering pests, diseases, and nutrient deficiencies across 74 crop types.
Dataset
File: annotations.csv (4 columns)
Column
Description
image_url
URL to the crop image
crop
Crop or plant identified by the expert
diagnosis
Pest, disease, or nutrient deficiency name(s); Healthy if none
details
Expert's observations on visible symptoms… See the full description on the dataset page: https://huggingface.co/datasets/kirutheen/Crop_Disease_Images.Fitzwilliam-museum-imagesA CSV file of image urls and meta data for the Fitzwilliam Museum system. The images are licensed under more restrictive terms, the links to URLS
are open via their API and website.
Crop_Disease_Images
Crop Disease Expert Annotations
1,092 crop images annotated by agricultural experts with ground truth diagnoses covering pests, diseases, and nutrient deficiencies across 74 crop types.
Dataset
File: annotations.csv (4 columns)
Column
Description
image_url
URL to the crop image
crop
Crop or plant identified by the expert
diagnosis
Pest, disease, or nutrient deficiency name(s); Healthy if none
details
Expert's observations on visible symptoms… See the full description on the dataset page: https://huggingface.co/datasets/Mithun2009/Crop_Disease_Images.open-images-100k-180x180
Open Images Dataset 100K 180x180 - Dataset Card
This dataset provides modified images from the Open Images Dataset. Images are available in HDF5 format along with their URLs in TsvHttpData-1.0 format. The dataset is divided into training, validation, and test sets.
Curated by: Google LLC
Images License: CC BY 2.0 License
Original (Google) Repository: Open Images Dataset
Hugging Face Repository: bitmind/open-images-v7
Dataset Overview
Description
This… See the full description on the dataset page: https://huggingface.co/datasets/duchema/open-images-100k-180x180.Banana_Images_Dataset
Banana Ripening Time-Series Dataset
Overview
This dataset contains time-series image data tracking the ripening process of bananas over an 8-day period. It is designed for machine learning tasks related to freshness detection, ripening stage classification, and shelf-life prediction.
Dataset Structure
The dataset consists of 96 observations organized in a CSV file with the following structure:
Columns
banana_id (1-12): Unique identifier for each… See the full description on the dataset page: https://huggingface.co/datasets/Saeraj/Banana_Images_Dataset.multiple-images-sdxldataset_with_images.xlsxArabic_Sentences_Images_Mapping_50kAzadari-Images
license: cc-by-nc-2.0
task_categories:
- text2text-generation
- text-to-image
- image-to-image
- image-to-3d
- text-classification
- text-to-3d
- text-generation
language:
- en
- ur
pretty_name: Azadari
size_categories:
- 100K<n<1M
dataset_info:
features:
- name: class_label
dtype: string
- name: image_path
dtype: string
- name: image_details
dtype: string
- name: keywords
dtype: string
splits:
- name: train
num_bytes: 31049686303.375… See the full description on the dataset page: https://huggingface.co/datasets/alirizvipk/Azadari-Images.imagesFashionGEN_images_datadose-response-generated-images
Dose-Response Generated Images
Generated images and safety annotations from the dose-response experiment: 28 trained PRX-1.2B variants (7 conditions + SFT + multi-seed + medium + text-encoder ablations), each evaluated on ~10K prompts.
Repository structure
images/
├── base/{C0..C6}/images.tar # 10K images per base condition
├── sft/{C0..C6}/images.tar # 10K images per SFT model
├── seed/{C0,C1}_seed_{137,314,789,1331}/ # 4 training-seed variants… See the full description on the dataset page: https://huggingface.co/datasets/anonym371/dose-response-generated-images.