datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Self-distill-logits-dinov3
DINOv3 experiments — results and full-validation logits
Start here: the first table row is one complete three-file CE+SD demonstration — before logits, after logits and correct labels. The following rows cover every published arm, including the overall (best) result and best CE-only control. Click an arm for its explanation, recipe and full epoch/step table.
All accuracies below are ImageNet-1K validation Top-1. Peak is not the same as final. Both companion archives, shared… See the full description on the dataset page: https://huggingface.co/datasets/dlsmarta/Self-distill-logits-dinov3.Super-Emojies-DLC
Super-Emojies-DLC
File Name
Size
Description
.gitattributes
2.46 kB
Rules for Git Large File Storage (LFS).
README.md
42 Bytes
Basic project description.
images
24.9 MB
Directory containing 11 image [emojie] classes.
Open-Captcha-Image-DLC
File Breakdown:
File Name
Size
Description
.gitattributes
2.46 kB
Rules for Git Large File Storage (LFS).
README.md
42 Bytes
Basic project description.
Usage:
This dataset can be used for:
Training CAPTCHA Solvers:Build models capable of solving image-based CAPTCHA challenges.
Testing Automation:Evaluate CAPTCHA-breaking algorithms for robustness.
Security Research:Understand the limitations of CAPTCHA systems and enhance security protocols.
CAS3120-2026-Project1_AI-Generated-Image-Detection
Project 1 — AI-Generated Image Detection
Course materials for CAS3120 · Introduction to Machine Learning · Spring 2026, Department of AI, Yonsei University.
Task
Binary image classification: distinguish real images from AI-generated images.
Dataset Summary
Image size: 128 × 128 RGB PNG
Splits:
train: 2,000 images (labeled)
val: 1,000 images (labeled)
test: 2,000 images (labels withheld)
Class balance: 50/50 in each labeled split
Test labels are withheld.… See the full description on the dataset page: https://huggingface.co/datasets/yonsei-dli/CAS3120-2026-Project1_AI-Generated-Image-Detection.DLCPD-25-Agri
مستودع نقص العناصر الغذائية (NPK Nutrient Deficiency)
📌 نبذة تعريفيّة عن المستودع
يحتوي هذا المستودع على مجموعة بيانات متخصصة في تشخيص نقص العناصر الغذائية الكبرى (النيتروجين، الفوسفور، والبوتاسيوم) في النباتات. تم دمج هذه المجموعة في مشروع "الخبير الزراعي اليمني" لتكون الركيزة الأساسية لنظام التوصيات السمادية، حيث يتم ربط التشخيص البصري للأوراق مع قراءات حساسات NPK الميدانية.
📂 هيكل البيانات (Data Structure)
تم رفع الملفات الفعلية بصيغة parquet… See the full description on the dataset page: https://huggingface.co/datasets/Omarrs11/DLCPD-25-Agri.Self-distill-logits-convnext-tiny
ConvNeXt-Tiny experiments — results and prediction archive
Access is configured. The full artifact migration is not complete. This initial publication contains the verified retained-checkpoint/prediction audit and the immutable report-source index, not the bulk checkpoints or full-logit arrays.
Published evidence
Contents
Verified before/after audit
Exact pretrained and epoch-5 random-KL checkpoint identities; 50,000 aligned prediction rows; 78.824% → 79.868%… See the full description on the dataset page: https://huggingface.co/datasets/dlsmarta/Self-distill-logits-convnext-tiny.DL-SLICER-dataset
🌍 DL-SLICER Cities Dataset
Dataset Summary
The DL-SLICER Cities Dataset contains satellite imagery from 45 cities worldwide.It was developed and used in the study:
DL-SLICER: Deep Learning for Satellite-Based Identification of Cities with Enhanced ResemblanceUlzhan Bissarinova, Aidana Tleuken, Sofiya Alimukhambetova, Huseyin Atakan Varol, Ferhat Karaca
The dataset supports deep learning–based city classification and explainable AI (XAI) analysis of urban features.In… See the full description on the dataset page: https://huggingface.co/datasets/issai/DL-SLICER-dataset.mafrin07_dlgenai-nppe-dataset
🧠 DL & GenAI NPPE 1 – Age & Gender Prediction Dataset
This dataset is linked to the project Maffffffffy/mafrin07_dlgenai-nppe on Hugging Face Spaces.It serves as the backing dataset for model inference and TrackIO logging for the Deep Learning & Generative AI NPPE 1 assignment (Term 2, 2025).
📘 Project Overview
The project predicts Age (regression) and Gender (classification) from facial images using PyTorch Lightning and ResNet-18.
Architecture: Finetuned… See the full description on the dataset page: https://huggingface.co/datasets/Maffffffffy/mafrin07_dlgenai-nppe-dataset.sun397
SUN397 dataset
The database contains 397 categories subset from the SUN dataset for Scene Recognition used in the following paper.
The number of images varies across categories, but there are at least 100 images per category, and 108,754 images in total.
All images are in jpg format. The images provided here are for research purposes only.
The file ClassName.txt contains the name list for the 397 categories.
Please cite the following paper if you use this dataset in your research.… See the full description on the dataset page: https://huggingface.co/datasets/pc-ml-dl/sun397.DL_PisangDLAA-Trainer
DLAA Trainer Image Dataset
This dataset contains a cleaned collection of high-resolution portrait, nature, object, texture, and geometric images prepared for training and evaluating lightweight image restoration, anti-aliasing, and texture refinement models.
It was prepared as part of the DLAANet.safetensors and DLAATexture.safetensors experimentation workflow, especially for improving edge quality, fine detail stability, texture preservation, geometric consistency, and visual… See the full description on the dataset page: https://huggingface.co/datasets/SOLRICKS/DLAA-Trainer.