datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
thesis_stochastic_depth
Stochastic Depth Thesis Benchmark Datasets
Five reproducibly prepared image-classification benchmarks for controlled ResNet and stochastic-depth experiments
Prepared for the bachelor thesisA Study of “Stochastic Depth” for Regularizing Residual Convolutional Neural Networks
Dataset summary
This repository contains the exact dataset variants used to compare a baseline ResNet with batch-level and sample-level stochastic-depth… See the full description on the dataset page: https://huggingface.co/datasets/hermanhugging/thesis_stochastic_depth.somethings_missing_here
Something's Missing Here
A dataset of viewpoint-aligned before/after image pairs for training and
evaluating missing-object detection: each pair shows the same scene from
(nearly) the same viewpoint, once with one or more objects present and once
after they were removed, with a label naming what went missing.
The dataset originated from pairs derived from the
simkoc/Remove360 dataset
(training/Remove360_based/), extended with original photographs collected
by the dataset author… See the full description on the dataset page: https://huggingface.co/datasets/Shay85Gil/somethings_missing_here.3-engineering-repair-51-commercial
Industrial Mechanical & Electrical Components Dataset — 51 Authentic Details
📋 Dataset Summary
Curated collection of 51 high-resolution photographs documenting authentic industrial mechanical and electrical components — electric motors and rotors, ball bearings and pulleys, gears and gearboxes, solenoid valves and hydraulic fittings, circuit boards and wiring harnesses, fasteners and tools, timing belts and caster wheels, air filters and brush assemblies.
Each… See the full description on the dataset page: https://huggingface.co/datasets/HerryChenwang111/3-engineering-repair-51-commercial.herculaneum-legibility-proxy-labels
Herculaneum legibility proxy — training labels (proxy_v4 / proxy_s2s3_v1)
This is the label set and training recipe behind the proxy_v4 /
proxy_s2s3_v1 model card:
https://huggingface.co/LimeGS/herculaneum-legibility-proxy.
Read that first — it documents the model, the preprocessing, the
thresholds, and the validation results. This dataset only covers how the
model was trained: the human labeling protocol, the exact windows it
produced, and a script to turn them back into pixels… See the full description on the dataset page: https://huggingface.co/datasets/LimeGS/herculaneum-legibility-proxy-labels.her2-challenge-2026This repository contains the data (HER2_CHALLENGE_FOR_INTERNSHIP_2026.zip) and baseline script (baseline.ipynb) required for Owkin's HER2 data challenge (2026 Spring medical imaging internship).
Data can be downloaded on CLI:
pip install -U "huggingface_hub"
hf download owkin/her2-challenge-2026 HER2_CHALLENGE_FOR_INTERNSHIP_2026.zip --repo-type=dataset --cache-dir=/your/download/dir/
Hermes.Product.prices.South.Korea
Hermes web scraped data
About the website
The luxury retail industry in the Asia Pacific region, particularly in South Korea, has been witnessing significant growth in the recent years. Undeniably fuelled by a rising middle-class population, increasing disposable income, and rapid urbanization, luxury goods demand is booming. French high-fashion label, Hermes, is one of the giants operating in this market. The brand has established a remarkable presence in South Korea… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Hermes.Product.prices.South.Korea.Hermes.Product.prices.Italy
Hermes web scraped data
About the website
The EMEA luxury fashion industry, particularly in Italy, is characterized by its high-end, high-quality retail products. Italy is home to many iconic fashion brands and is one of the worlds fashion capitals. Hermes is one of the prominent players in this sphere. With its sophisticated designs and high-quality craftsmanship, Hermes caters to a luxury-oriented demographic. The retail industry, more specifically, is making strategic… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Hermes.Product.prices.Italy.HeritageNet
HeritageNet: A Dataset of Nepali Heritage Sites
A collection of photographs of 26 Nepali heritage sites — temples, stupas, and
monasteries — captured by the HeritageNet team for image-classification research.
Nepali cultural heritage is severely underrepresented in existing computer-vision
datasets. Global models recognise landmarks like the Eiffel Tower or Taj Mahal, yet have
effectively never "seen" Nepal's local heritage. This dataset is a small step toward
closing that gap —… See the full description on the dataset page: https://huggingface.co/datasets/delta275/HeritageNet.herislab-ca-training-data
CA_Training_Data -- Convolutional Autoencoder (Track A)
Curated dataset for training and evaluating the Convolutional Autoencoder anomaly detection model.
Approach
The autoencoder is trained only on normal (no-fault) images. At inference, high reconstruction error indicates an anomaly/fault.
Structure
train/normal/ -- Normal images for autoencoder training
electric_motor/ -- 168 PNG (Electric Motor Thermal Fault Diagnosis, no_fault class)… See the full description on the dataset page: https://huggingface.co/datasets/Ryanflash/herislab-ca-training-data.Hermes.Product.prices.China
Hermes web scraped data
About the website
The luxury goods industry in the Asia Pacific, particularly in China, is experiencing significant growth driven by rising wealth and changing consumer preferences. Hermes, a high-end luxury brand, is a notable player within this affluent sector. This industrys success is tied to the robust ecommerce landscape in China, characterized by innovative digital platforms with extensive customer reach. The dataset examined contains… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Hermes.Product.prices.China.Hermes-challenge
Jeu de Données pour la Validation du Challenge Hermès
Voici un petit jeu de données qui utilise des modèles similaires à ceux que l'on pourra utiliser pour la validation du challenge Hermès. Photoshop, grok, flux, et bien d'autres outils et modèles pourront être utilisés en validation finale sans oublier nos modèles et dataset personnels et ceux de la Red TEAM.
Ressources Complémentaires
Pour entraîner vos modèles, voici quelques jeux de données ouverts qui pourraient… See the full description on the dataset page: https://huggingface.co/datasets/MagicLEMP/Hermes-challenge.