datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
engineering-drawings-as1100
Engineering Drawings AS1100 Compliance Dataset
Dataset Description
This dataset contains engineering drawings with various AS1100 (Australian Standard for Technical Drawing) compliance issues for training AI models to identify missing elements and non-compliance issues in technical drawings.
Dataset Summary
The Engineering Drawings AS1100 Compliance Dataset is designed to train and evaluate vision-language models on identifying compliance issues in technical… See the full description on the dataset page: https://huggingface.co/datasets/jcrzd/engineering-drawings-as1100.engineering-drawings-as1100
Engineering Drawings AS1100 Compliance Dataset
Dataset Description
This dataset contains engineering drawings with various AS1100 (Australian Standard for Technical Drawing) compliance issues for training AI models to identify missing elements and non-compliance issues in technical drawings.
Dataset Summary
The Engineering Drawings AS1100 Compliance Dataset is designed to train and evaluate vision-language models on identifying compliance issues in… See the full description on the dataset page: https://huggingface.co/datasets/Vasanthaleela/engineering-drawings-as1100.Engine-Oil-Seal-Detection-Dataset
Engine Oil Seal Detection Dataset
The Engine Oil Seal Detection Dataset was created to address the growing need for effective monitoring and quality control in the automotive industry, specifically focusing on oil seal integrity. Current industry practices often rely on manual inspections, which are time-consuming and prone to human error. This dataset aims to fill the gap by providing high-quality images of oil seals under various conditions for training automated detection… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Engine-Oil-Seal-Detection-Dataset.scent-engine-annotations
ScentEngine — Universal Training Annotations
Two-stage Gemma 4 labels (E4B primary, 31B verifier for conf ∈ [0.4, 0.7])
over public game screenshots. Each row maps an image to 6 PWM values
(0–100) in locked channel order: Flora · Aqua · Earth · Pyric · Ozone · Civic.
Files
File
Purpose
public_games_final.jsonl
All accepted labels (quarantine excluded)
universal_train.jsonl
90% split for training the universal head
universal_val.jsonl
10% split for… See the full description on the dataset page: https://huggingface.co/datasets/Dennishuang85/scent-engine-annotations.Synth-Text-Eng-512x128
Synthetic Text Images (English)
A synthetic dataset of rendered text images with rich per-sample
annotations: the text itself, its rendering attributes, background
description, applied post-processing, and a natural-language caption.
Each image is generated by compositing English text over a procedurally
generated background with random font, color, position, rotation, blur,
brightness and noise. All samples are accompanied by a structured
metadata.csv and a ready-to-use… See the full description on the dataset page: https://huggingface.co/datasets/Nininkkka/Synth-Text-Eng-512x128.