datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
autotrain-data-inat2018
AutoTrain Dataset for project: inat2018
Dataset Description
This dataset has been automatically processed by AutoTrain for project inat2018.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<748x800 RGB PIL image>",
"target": 2
},
{
"image": "<800x600 RGB PIL image>",
"target": 0
}]
Dataset Fields
The… See the full description on the dataset page: https://huggingface.co/datasets/rdmpage/autotrain-data-inat2018.iNaturalist_v2
Dataset Card for Dataset Name
This dataset is comprised of 1,079 observations that were posted on the iNaturalist app. iNaturalist is a website and mobile app that 'aims to
provide a crowd-sourced identification system' for plants, insects, and animals.
Dataset Details
Dataset Description
For each of the 1,079 observations included in this dataset, there is information about the quality of the associated image (quality_grade), a species label… See the full description on the dataset page: https://huggingface.co/datasets/ba188/iNaturalist_v2.inat-wildflowers-75
iNaturalist North American Wildflowers - 75 Species
A curated image classification dataset of 75 North American wildflower species,
sourced from iNaturalist research-grade observations.
Dataset Summary
Total images: 59410
Train split: 47527 images
Validation split: 11883 images
Species: 75 (28 plant families)
Source: iNaturalist research-grade observations (CC-licensed photos only)
Region: North America
Species List
#
Common Name
Scientific… See the full description on the dataset page: https://huggingface.co/datasets/meganariley/inat-wildflowers-75.inat-wildflowers-25
🌸 iNaturalist North American Wildflowers — 25 Species
A curated image classification dataset of 25 visually distinct North American wildflower species,
built from research-grade iNaturalist observations.
Dataset Summary
Total images: 10,000 (400 per species)
Splits: train (8,000) / validation (1,000) / test (1,000)
Split ratio: 80 / 10 / 10
Image size: 256×256 JPEG
Source: iNaturalist open data (research-grade observations only)
Species
#
Label
Common… See the full description on the dataset page: https://huggingface.co/datasets/meganariley/inat-wildflowers-25.