datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Benchmark_Dataset-Primate_mammal_species_classification
Summary
This dataset provides a benchmark for evaluating the model's capability to identify species-specific genomic signatures across varying evolutionary distances.
Using whole-genome assembly data from seven diverse mammals—including four primates (Human, Pan troglodytes, Pongo abelii, Callithrix) and three non-primates (Mouse, Cattle, Sheep)—we designed a multi-class species classification task.
To rigorously assess generalization and prevent data leakage from homologous… See the full description on the dataset page: https://huggingface.co/datasets/BGI-HangzhouAI/Benchmark_Dataset-Primate_mammal_species_classification.mosquito-species-classification-datasetThis dataset is part of the Culicidaelab project - open-source system for mosquito research and analysis, which includes components:
Data:
Base diversity dataset (46 species, 3139 images under CC-BY-SA-4.0 license.
Specialized derivatives: classification, detection, and segmentation datasets under CC-BY-SA-4.0 licenses.
Models:
Top-1 models (see reports), used as default by culicidaelab library: classification (Apache 2.0), detection (AGPL-3.0), segmentation (Apache 2.0)
Top-5… See the full description on the dataset page: https://huggingface.co/datasets/iloncka/mosquito-species-classification-dataset.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.Bee_species_classification
multimedia.txt contain images and gbif_id
occurrence.txt contains location and gbif_id
What is the Darwin Core Archive download format? What's contained in the file? This format is a TDWG Standard and contains rich information. It is a ZIP file containing the original data as shared by the publisher, and the interpreted view after data has gone through quality control procedures. This is a richer format than simple CSV but provides the most complete view of data. Additional files provide… See the full description on the dataset page: https://huggingface.co/datasets/c123ian/Bee_species_classification.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.