datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fish-vista
Dataset Card for Fish-Visual Trait Analysis (Fish-Vista)
Note that the '</Use this dataset>' option will only load the CSV files. To download the entire dataset, including all processed images and segmentation annotations, refer to Instructions for downloading dataset and images.
See Example Code to Use the Segmentation Dataset
Figure 1. A schematic representation of the different tasks in Fish-Vista Dataset.
Instructions for downloading dataset… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/fish-vista.phylo-fish
Dataset Card for Phylo-Fish
ML-ready dataset containing 38 species of Teleost fishes with an average number of 200 images per species. This semi-balanced subset was sourced from a larger fish image collection from the Great Lakes Invasives Network Project (GLIN)
Dataset Details
Teleost fish images from five ichthyological research collections that participated in the Great Lakes Invasives Network Project (GLIN) (original data source site: web archive link). After… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/phylo-fish.COVER-Fish
COVER-Fish
COVER-Fish is a versioned reference-update benchmark and full payload archive
for fine-grained fish recognition. It is designed to study how a frozen
recognition system changes when evidence is added to its reference gallery, and
how those changes depend on the source package, aggregation rule and query
domain.
This repository contains two connected layers:
Reference-Update Benchmark — the benchmark/ directory contains gallery
states, row-level manifests, taxonomy… See the full description on the dataset page: https://huggingface.co/datasets/COVER-Fish/COVER-Fish.Reference-Update-Benchmark
COVER-Fish Reference-Update Benchmark
This benchmark studies how reference-corpus updates change a frozen recognition
system, instantiated on fine-grained fish identification. It publishes the
versioned control plane behind COVER-Fish: row-level manifests, gallery states,
taxonomy, tensor bindings, transition evidence, protocols and dependency locks.
The benchmark does not duplicate the 83 GB Full Payload Archive. Large source
archives and frozen tensors remain in the immutable… See the full description on the dataset page: https://huggingface.co/datasets/COVER-Fish/Reference-Update-Benchmark.QT26-QC
QT26-QC
QT26-QC is a fixed evaluation roster for fine-grained fish recognition. Its
canonical test split contains 6,719 natural-photo queries across 3,121
FishBase 25.04 taxa, with encoded image bytes, labels, provenance, row-level
licence and attribution, and image SHA-256 values.
from datasets import load_dataset
test = load_dataset("COVER-Fish/QT26-QC", split="test")
Why this benchmark is complementary
QT26-QC complements existing fish benchmarks along the… See the full description on the dataset page: https://huggingface.co/datasets/COVER-Fish/QT26-QC.deepscan-dataset
Tropical Reef Fish Dataset
A dataset of tropical reef fish images for species-level image classification, with additional negative classes for out-of-distribution rejection.
Dataset Description
Images were scraped from iNaturalist using research-grade observations with CC0 or CC-BY licenses. The dataset covers 12 species across 9 families, targeting fish commonly encountered by snorkelers at depths of 0–10 meters in tropical reef environments.
Two negative classes are… See the full description on the dataset page: https://huggingface.co/datasets/fish-gang/deepscan-dataset.MOUSS_fish_imagery_dataset_grayscale_small
Dataset Card for Modular Optical Underwater Survey System (MOUSS) Imagery - Small Set
This dataset contains grayscale underwater imagery collected by NOAA's Modular Optical Underwater Survey System (MOUSS), specifically for object detection of fish. The dataset is intended for training and evaluating models like the YOLOv8n-based Fish Detector on grayscale underwater footage.
Dataset Details
Dataset Description
This dataset is composed of black-and-white… See the full description on the dataset page: https://huggingface.co/datasets/akridge/MOUSS_fish_imagery_dataset_grayscale_small.fish-vista
Dataset Card for Fish-Visual Trait Analysis (Fish-Vista)
Note that the '</Use this dataset>' option will only load the CSV files. To download the entire dataset, including all processed images and segmentation annotations, refer to Instructions for downloading dataset and images.
See Example Code to Use the Segmentation Dataset
Figure 1. A schematic representation of the different tasks in Fish-Vista Dataset.
Instructions for downloading dataset… See the full description on the dataset page: https://huggingface.co/datasets/saffatgazi/fish-vista.fishkinet-posts
Dataset Card for Fishki.net
Dataset Summary
This dataset contains posts scraped from Fishki.net, a Russian entertainment and news website. Each entry in the dataset represents a post from the website, including its title, content, author, publication date, tags, images, and URL. The dataset contains 369,180 unique posts covering various topics in entertainment, news, and social media content.
Languages
The dataset is primarily in Russian.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/fishkinet-posts.bd-fish-disease-dataset
BD Fish & Shrimp Disease Dataset
A comprehensive image dataset for fish and shrimp disease classification containing 5,887 high-quality images across 11 disease categories. This dataset is designed to support machine learning models for early detection of common aquaculture diseases in Bangladesh.
Dataset Overview
Feature
Description
Task
Image Classification
Size
5,887 images
Classes
11 disease conditions
Format
JPG/PNG images
Resolution
Various… See the full description on the dataset page: https://huggingface.co/datasets/Saon110/bd-fish-disease-dataset.FishCLIP
FishCLIP: A Curated Image Dataset for AI-Driven Fish Biodiversity
FishCLIP is a comprehensive dataset sourced from iNaturalist, providing a taxonomic overview of fish diversity. It includes:
145,059 records of Actinopteri and 9 records of Cladistii.
Data spanning 62 orders, with the most populous orders being:
Perciformes: 18,331 records
Cypriniformes: 12,456 records
Gobiiformes: 14,694 records
This dataset is designed to support AI-driven applications in fish biodiversity… See the full description on the dataset page: https://huggingface.co/datasets/Otolith/FishCLIP.amazonian_fish_classifier_dataTODOCageAwareEggDataset
CageAwareEggDataset
CageAwareEggDataset is a robotic inspection image dataset for cage-aware sub-cage egg counting in structured layer hen houses.
The dataset supports production-oriented egg monitoring, where egg counts need to be assigned to physical cage units rather than only reported as whole-image detections.
Dataset Description
This dataset contains robotic inspection images collected from a structured layer hen house. It includes:
YOLO-format annotations… See the full description on the dataset page: https://huggingface.co/datasets/Fish916/CageAwareEggDataset.fish-image
Scardinius Erythrophthalmus Fish Dataset
Dataset Description
This dataset contains 311 image-text pairs featuring Scardinius erythrophthalmus (Rudd) fish with corresponding expert question-answer pairs for biological identification and analysis.
Key Features
High-quality fish photographs
Expert biological analysis and identification
Detailed morphological descriptions
Scientific accuracy for educational use
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/praneeth-narisetty/fish-image.fisheye_visdrone_mcity_clean_2844_final
Dataset Card for fisheye_visdrone_mcity_clean_new_final
This is a FiftyOne dataset with 23786 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Abeyankar/fisheye_visdrone_mcity_clean_2844_final")
# Launch the App
session =… See the full description on the dataset page: https://huggingface.co/datasets/Abeyankar/fisheye_visdrone_mcity_clean_2844_final.biome-themed-pantanal-biopark-fish-tanks
Biome-Themed Pantanal Biopark Fish Tanks
This dataset contains 3654 images taken in the Pantanal Biopark.
A paper with further details and baseline results is to be published soon in PLOS ONE.
scallop_mosaic_640_quantization_sample
Scallop YOLOv5s Mosaic 640 - Quantization Sample
A classless 1000-train / 1000-val image subset of the tiled 3x3 640px mosaic dataset designed specifically for RKNN/tflite/ONNX representative quantization calibration on edge devices (like the RV1126 Aura).
Attribution & License
This dataset is a derivative work based on the University of St Andrews King Scallop dataset.
Original DOI: 10.5281/zenodo.10156830
In accordance with the original dataset's terms, this… See the full description on the dataset page: https://huggingface.co/datasets/FishingROV/scallop_mosaic_640_quantization_sample.dry-fish-dataset
Dry Fish Dataset
Bangladeshi dry fish species classification dataset containing 3538 images across 12 classes.
Classes
Bashpata
Chanda
Chapila
Chewa
Churi
Loitta
Shukna Feuwa
Shundori
Chingri
Kachki
Narkeli
Puti Chepa
Source
Original dataset from Mendeley Data:https://data.mendeley.com/datasets/f3sr9xr8md/1
Citation
Hossain, Md Jakir; Hossain, Amran; Ara Arin, Iffat; Jisan Mia, MD; Hasan, Abir (2025),
"Dry Fish Image Dataset", Mendeley Data, V1… See the full description on the dataset page: https://huggingface.co/datasets/kaanala/dry-fish-dataset.fish-vista-test
Dataset Card for Fish-Visual Trait Analysis (Fish-Vista)
Dataset Deetails
Dataset Description
The Fish-Visual Trait Analysis (Fish-Vista) dataset is a large, annotated collection of 60K fish images spanning 1900 different species; it supports several challenging and biologically relevant tasks including species classification, trait identification, and trait segmentation. These images have been curated through a sophisticated data processing… See the full description on the dataset page: https://huggingface.co/datasets/egrace479/fish-vista-test.