datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
reef-guidance-system
Dataset Card for Reef Guidance System
This dataset provides imagery used for training and evaluation of models in the Reef Guidance System. All imagery was collected by the Australian Institute of Marine Science using the ReefScan™ Transom Marine Monitoring System.
If you use this dataset in your work, please cite the associated paper: AI-driven dispensing of coral reseeding devices for broad-scale restoration of the Great Barrier Reef (citations provided at bottom of this… See the full description on the dataset page: https://huggingface.co/datasets/QCR-Underwater-Perception/reef-guidance-system.reefnet_species_images
ReefNet Species Images
Full-resolution coral reef images with species-level annotations from the
ReefNet dataset.
Dataset Description
This dataset contains 51,080 images from 54 CoralNet sources
with 365,030 annotation patches across 245 species.
Each annotation in metadata.parquet specifies a patch center (Row, Column)
within a full-resolution image. Crop a 224×224 patch centered at these coordinates
for classification tasks.
Splits
The curated… See the full description on the dataset page: https://huggingface.co/datasets/TsinghuaCorals/reefnet_species_images.Reefknot
Reefknot
Comprehensive benchmark for evaluating relation hallucination in MLLMs. 21,560 samples across 3 evaluation formats, 11,084 unique Visual Genome images.
Fields
Field
Description
image
Visual Genome image
image_id
VG image identifier
query_prompt
Question about object relations
label
Ground truth answer
type
Question type (Yes/No, Multichoice, VQA)
relation_type
Relation category (perception/cognitive)
Configs
Config… See the full description on the dataset page: https://huggingface.co/datasets/MM-Hallu/Reefknot.ReefNet-1.0
ReefNet Dataset
The ReefNet dataset is a comprehensive, curated collection of annotated coral reef images sourced from the CoralNet platform. It is designed for training and evaluating machine learning models for coral classification on a global scale. ReefNet's consolidated label set and rich metadata facilitate the straightforward extraction of custom datasets to support coral classification tasks across different geographic regions.
Dataset Structure
The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/ReefNet/ReefNet-1.0.ts-aims-reefscapes-marine-featuresreefscape-dataEDA-US-Bankruptcy-Prediction
Assignment 1: EDA - US Company Bankruptcy Prediction
Student Name: Reef Zehavi
Date: November 10, 2025
📹 Project Presentation Video
[(https://www.loom.com/share/6920e493e8654ef3bb4f67a10eb9b03d)]
1. Overview and Project Goal
The goal of this project is to perform Exploratory Data Analysis (EDA) on a fundamental dataset of American companies. The analysis focuses on understanding the financial characteristics that differentiate between companies that survived… See the full description on the dataset page: https://huggingface.co/datasets/reefzehavi/EDA-US-Bankruptcy-Prediction.imnet1k_coral_reefReefNet-1.0
ReefNet Dataset
The ReefNet dataset is a comprehensive, curated collection of annotated coral reef images sourced from the CoralNet platform. It is designed for training and evaluating machine learning models for coral classification on a global scale. ReefNet's consolidated label set and rich metadata facilitate the straightforward extraction of custom datasets to support coral classification tasks across different geographic regions.
Dataset Structure
The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/fuyaowen/ReefNet-1.0.