datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
synthetic-analog-gauges
Synthetic Analog Gauges Dataset v2.0
Version: v2.0Images: 10,000 synthetic industrial gauge imagesSplits: train=8,000, val=1,000, test=1,000Resolution: 640x640 JPEGAnnotations: COCO detection/regression + semantic segmentation PNG masks + per-image metadata
What Is New In v2.0
This release is the final photorealistic industrial-background version of the VKR synthetic analog gauges dataset.
Key additions compared with the older public release:
Real generated industrial… See the full description on the dataset page: https://huggingface.co/datasets/Mileeena/synthetic-analog-gauges.1M-synthetic-analog-clocksMars-Analog-Dunes-10
Mars-Analog-Dunes-10 Dataset
Dataset Description
Mars-Analog-Dunes-10 is a curated remote sensing dataset designed for Earth-Mars Comparative Planetology. It contains high-quality satellite imagery of Earth's sand dunes that serve as morphological analogs to features found on Mars.
Key Features
Mars Analog Focus: Selected from Earth regions (e.g., deserts in China, Africa) known for their similarity to Martian geomorphology.
10 Fine-Grained Classes:… See the full description on the dataset page: https://huggingface.co/datasets/Keiyoo/Mars-Analog-Dunes-10.synthetic-analog-clocks-v2prof_images_blip__wavymulder-Analog-Diffusion
Dataset Card for "prof_images_blip__wavymulder-Analog-Diffusion"
More Information needed
Analogist
Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model.
Zheng Gu, Shiyuan Yang, Jing Liao, Jing Huo, Yang Gao.
Project page
All the image datasets can be achieved through this link. Please put them in a datasets folder. We also provide the GPT-4V prompts that we used in our experiments. Please see the *_gpt4_out.txt files. The data structure is as follows:
Analogist
├── datasets
│ ├── low_level_tasks_processed
│ │ ├── ...
│ │ ├── *_gpt4_out.txt
│ ├──… See the full description on the dataset page: https://huggingface.co/datasets/picana/Analogist.reading-analog-gauge
Dataset for Reading Analog Dial
dataset found at Synanthropic/reading-analog-dial
This is the dataset used to train the model for reading analog dial found at: demo
Setup dataset for model training
there are two datasets, corner and keypoint
download dataset
unzip one of (corner, keypoint)
edit make-dataset.py and set variable srcdir to one of corner or keypoint
run script
train your model
CFE_Benchmark
CFE: Classroom Final Exam
CFE (Classroom Final Exam) is a multimodal benchmark for evaluating the reasoning capabilities of large language models across more than 20 STEM domains. CFE is curated from repeatedly used, authentic university homework and exam problems, together with reference solutions provided by course instructors.
📄 Paper: arXiv:2602.19517
Benchmark Overview
CFE presents a significant challenge even for frontier models: the newly released… See the full description on the dataset page: https://huggingface.co/datasets/analogyai/CFE_Benchmark.synthetic-analog-clocks-v3analog_watches_finetune2analog_clocks_combinations_for_finetuning
Analog Clocks Combinations Dataset for Finetuning
This repository hosts a collection of 43,200 high-quality, synthetic images of analog clocks, generated for every possible hour, minute, and second in a 12-hour cycle, and for each of three clock types:
Base: normal clocks.
Distorted: dial with distorted shape.
Modified hands: hands with the same thickness and with an arrow.
The data is useful for training and benchmarking computer vision models on tasks like time recognition… See the full description on the dataset page: https://huggingface.co/datasets/migonsa/analog_clocks_combinations_for_finetuning.analog-clock-benchmarkr_analog-gemini-2.0-flash-thinking-exp-1219-CustomShareGPTanalog_watches_finetuneimnet1k_analog_clockregs-analog-diffusion