datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
central-florida-native-plants
DeepEarth Central Florida Native Plants Dataset v0.2.0
🌿 Dataset Summary
A comprehensive multimodal dataset featuring 33,665 observations of 232 native plant species from Central Florida. This dataset combines citizen science observations with state-of-the-art vision and language embeddings for advancing multimodal self-supervised ecological intelligence research.
Key Features
🌍 Spatiotemporal Coverage: Complete GPS coordinates and timestamps for all… See the full description on the dataset page: https://huggingface.co/datasets/deepearth/central-florida-native-plants.european-flora-fungi-thinking
🌿🍄 European Flora & Fungi Identification Dataset
With Synthetic Thinking Traces for Vision-Language Model Fine-Tuning
A curated dataset of 377 multi-turn conversations covering 39 European plant and mushroom species organized into 14 confusion groups (species commonly mistaken for each other).
🎯 Purpose
This dataset is designed for fine-tuning vision-language models (Gemma 3, LLaVA, Qwen-VL) with thinking traces (<think>...</think>) to perform:
Species… See the full description on the dataset page: https://huggingface.co/datasets/Mightypeacock/european-flora-fungi-thinking.Afrivoice_Kinyarwanda_Image_Domain_classification
Dataset Description
This dataset is a restructured version of Afrivoice Kinyarwanda, reorganized for image domain classification. The original audio-and-image manifest data was regrouped into a standard Hugging Face imagefolder layout (train/validation/test splits, one subfolder per class) so it can be loaded directly with datasets.load_dataset("imagefolder", ...) for training image classifiers.
No new images were collected and no image content was modified beyond format… See the full description on the dataset page: https://huggingface.co/datasets/Kira-Floris/Afrivoice_Kinyarwanda_Image_Domain_classification.index-cards-harvard-botany-metropolitan-flora
Card File of the Flora of the Metropolitan Parks (Harvard Botany Libraries, 1894–1895)
4,574 botanical specimen index cards from the Harvard University Botany
Libraries' Card File of the Flora of the Metropolitan Parks, 1894–1895 (bulk),
compiled by Walter Deane (1848–1930). Records flora of the Metropolitan Park
system around Boston — Middlesex Fells Reservation, Blue Hills, Norfolk County,
and adjacent areas — with one card per specimen entry: species, locality,
collection date… See the full description on the dataset page: https://huggingface.co/datasets/biglam/index-cards-harvard-botany-metropolitan-flora.DENTEXPaper | Code | Project Page
Welcome to the official page of the DENTEX dataset, which has been released as part of the Dental Enumeration and Diagnosis on Panoramic X-rays Challenge (DENTEX), organized in conjunction with the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) in 2023. The primary objective of this challenge is to develop algorithms that can accurately detect abnormal teeth with dental enumeration and associated diagnosis. This… See the full description on the dataset page: https://huggingface.co/datasets/florenth99/DENTEX.Floral-Species-Classification-Dataset
Floral Species Classification Dataset
The current agricultural sector faces challenges in plant disease control and biodiversity conservation. Traditional manual identification methods are inefficient and inaccurate. Existing species identification systems often rely on expert experience, lacking large-scale, high-quality data support, making it difficult to meet real-time monitoring needs. This dataset aims to address data scarcity in automated identification by providing a large… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Floral-Species-Classification-Dataset.Garden-Floral-and-Flower-Tobacco-Recognition-Image-Dataset
Garden Floral and Flower Tobacco Recognition Image Dataset
In modern agriculture and garden management, swiftly and accurately recognizing and classifying flower species is a major challenge. Traditional manual recognition methods are inefficient and prone to errors. Existing solutions rely on general image datasets, which often lack the precision and diversity specific to flower recognition. This dataset focuses on enhancing the recognition capabilities of flowers and flower… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Garden-Floral-and-Flower-Tobacco-Recognition-Image-Dataset.