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Open Medical & Industrial AI Datasets

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OralSDv1

OralSDv1: Multi-Modal Oral Disease Dataset

A custom-curated, expert-verified multi-modal dataset designed for research in oral disease classification. Supports machine learning experiments that integrate both oral images and corresponding textual symptom descriptions.

Medical/Multi-Modal/Classification/Oral Disease

Dataset Paper
Microscopic Nail Disease Dataset

Microscopic Nail Disease Classification Dataset

High-resolution microscopic nail disease dataset with 540 images captured using a 100× C-mount inspection microscope. Provides a binary classification framework for distinguishing between healthy and pathological nails.

Medical/Microscopic/Classification/Nail Disease

Dataset Paper
PALMLineSeg_V1

PALMLineSeg_V1 Dataset

Specifically curated for fine-grained 2D palm line segmentation. Contains images from 250 individuals (18-30 years) captured with high-sensitivity Sony IMX sensors (IMX890, IMX921) for gender-oriented bias analysis.

Medical/Segmentation/Palm Line/Biometric

Dataset Paper
NEU-GC10-DET

NEU-GC10-DET Dataset

Extensive benchmark dataset combining NEU-DET with GC10-DET. Contains 3,780 grayscale images featuring 16 unique defect classes from hot-rolled steel and industrial steel sheets for surface defect detection.

Industrial/Detection/Classification/Defect Detection

Dataset Paper
Nicotine_stainV1

Nicotine_stainV1 Dataset

Comprises 743 post-augmented images from Google searches, social media, and synthetic samples generated using vision-language models (Sora 2, Nano Banana). Establishes a foundational benchmark for automated nicotine stain detection.

Medical/Classification/Nicotine Detection/Synthetic Data

Dataset Paper
Mental Health Survey Dataset India

Mental Health Survey Dataset (India)

Anonymized responses from 257 Indian young adults assessing emotional well-being, sleep quality, social support, coping behavior, and self-harm ideation. Contains 30 Likert-type items scored on a 4-point scale (0–3) measuring symptom severity for mental health classification research.

Medical/Classification/Mental Health/Survey Data

Dataset Paper