datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
rare-species
Dataset Card for Rare Species Dataset
Dataset Description
Repository: Imageomics/bioclip
Paper: BioCLIP: A Vision Foundation Model for the Tree of Life (arXiv)
Dataset Summary
This dataset was generated alongside TreeOfLife-10M; data (images and text) were pulled from Encyclopedia of Life (EOL) to generate a dataset consisting of rare species for zero-shot-classification and more refined image classification tasks. Here, we use "rare species" to mean species… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/rare-species.FOR-species-20k_dev_classification
For Species 20k Dev Classification
This dataset provides real-world images of diverse tree species collected using point cloud sensors in natural forest environments. It offers a comprehensive visual resource for developing and evaluating computer vision models in ecological and forestry applications. The dataset contains 17,707 images across 33 classes: Abies_alba, Acer_campestre, Acer_pseudoplatanus, Acer_saccharum, Betula_pendula, Carpinus_betulus, Corylus_avellana… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/FOR-species-20k_dev_classification.tree_species_classification_slovak_exact_cropped_extended
Tree Species Classification Slovak Exact Cropped Extended
This dataset provides real RGB images of tree species collected in natural field environments across Slovakia and the Czech Republic. Images were captured using handheld cameras (Sony Alpha 7 and Canon EOS 4000D) during field campaigns in June and August 2022, focusing on bark and foliage for species identification. The dataset contains 1,367 images across 4 classes: European beech, European silver fir, Norway spruce… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/tree_species_classification_slovak_exact_cropped_extended.tree_species_classification_CZU_normal_cropped
Tree Species Classification Czu Normal Cropped
This dataset provides real RGB images of multiple tree species captured in natural field environments across Slovakia and the Czech Republic. Images were collected using handheld cameras including Sony Alpha 7 and Canon EOS 4000D during field surveys in June and August 2022. The dataset contains 386 images across 4 classes: Beech, Maple, Pine, linden.Images per class:
Beech: 74
Maple: 159
Pine: 105
linden: 48
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/tree_species_classification_CZU_normal_cropped.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.multi-species-benchmark
multi-species benchmark
Photographs where 2+ species appear in the same frame. Designed to evaluate
multi-label species identification and steering capabilities of biological
vision-language models. Two sources, unified into one parquet schema.
Sources
inat21_multilabel (299 rows, 147 images)
In-distribution: drawn from iNat21
validation images that already carry an iNat-supplied primary label. We use
InternVL3-AWQ to surface
images that also… See the full description on the dataset page: https://huggingface.co/datasets/dcher95/multi-species-benchmark.