datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
HueManity
HueManity: A Benchmark for Testing Human-Like Visual Perception in MLLMs
Paper | Code
Dataset Description
HueManity is a benchmark dataset featuring 83,850 images designed to test the fine-grained visual perception of Multimodal Large Language Models (MLLMs). Each image presents a two-character alphanumeric string embedded within Ishihara-style dot patterns, challenging models to perform precise pattern recognition in visually cluttered environments.
The dataset was… See the full description on the dataset page: https://huggingface.co/datasets/Jayant-Sravan/HueManity.srt-cxr14-frozen-probe
Frozen general-purpose features beat a fine-tuned baseline on ChestX-ray14
A linear probe on frozen google/gemma-4-31B-it hidden states, on all 112,120
images of NIH ChestX-ray14, using the official test_list.txt. No
fine-tuning, no radiology pretraining, no augmentation. One Linear(d, 14)
under BCE, which is fourteen logistic regressions.
ChestX-ray14, official split
mean AUROC
method
Wang et al. 2017 (dataset authors)
0.7451
ResNet-50, fine-tuned end to end
this… See the full description on the dataset page: https://huggingface.co/datasets/RiverRider/srt-cxr14-frozen-probe.sri-lankan-stamp-matcher-dataset
Sri Lankan Stamp Matcher Dataset
Source data for the Stamp AI Model 2 stamp-matching project.
Contents
reviewed_crops/ — reviewed single-stamp crop images
metadata-final.xlsx — master metadata file
The Excel file contains the review status, exact stamp grouping, design-family grouping, face value, overprint details, condition, and capture-quality notes.
accepted, pending, and excluded statuses are retained so the dataset can be reviewed and regenerated… See the full description on the dataset page: https://huggingface.co/datasets/nethsith/sri-lankan-stamp-matcher-dataset.srtm-1-arc-second-global
SRTM 1 Arc-Second Global
GeoTIFF heightmaps of the Earth's surface labelled according to latitude and longitude.
Mission Description
The Shuttle Radar Topography Mission (SRTM) was flown aboard the space shuttle Endeavour February 11-22, 2000. The National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA) participated in an international project to acquire radar data which were used to create the first near-global set of… See the full description on the dataset page: https://huggingface.co/datasets/novaia/srtm-1-arc-second-global.autotrain-data-resnet50_test
AutoTrain Dataset for project: resnet50_test
Dataset Description
This dataset has been automatically processed by AutoTrain for project resnet50_test.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<1920x1920 RGB PIL image>",
"target": 2
},
{
"image": "<1080x721 RGB PIL image>",
"target": 2
}
]
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/SRGui/autotrain-data-resnet50_test.dustbin-or-not-dataset
Dustbin vs. Not Dustbin Image Dataset
Dataset Summary
A small binary image classification dataset for predicting whether an image contains a dustbin/trash can.
has_dustbin = 1: dustbin visible
has_dustbin = 0: no dustbin visible
30+ original photographs
Images resized to 224 × 224 RGB
Data Collection
Original photographs were captured by the author and organized into dustbin/ and not_dustbin/ folders. No people, faces, or sensitive personal… See the full description on the dataset page: https://huggingface.co/datasets/srivathsanb14/dustbin-or-not-dataset.srtm-3-arc-second-global
SRTM 3 Arc-Second Global
Raw ASCII heightmaps of the Earth's surface labelled according to latitude and longitude.
Mission Description
The Shuttle Radar Topography Mission (SRTM) was flown aboard the space shuttle Endeavour February 11-22, 2000. The National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA) participated in an international project to acquire radar data which were used to create the first near-global set of… See the full description on the dataset page: https://huggingface.co/datasets/mpatrick1991/srtm-3-arc-second-global.plantvillage-tiny
PlantVillage (tiny)
This is a debug-grade subset, not a faithful subsample for analysis.
50 images per class drawn from the full PlantVillage dataset is too few
to represent class-level visual diversity. Use it for iterating on
training-loop code, smoke-testing pipelines, or any situation where you
want the data structure but not the data scale. For actual classifier
training or evaluation, use
geraldmc/plantvillage-full.
What's in this dataset
A stratified… See the full description on the dataset page: https://huggingface.co/datasets/sriyaayayaay/plantvillage-tiny.waste-classification-sri-lanka
Intelligent Waste Classification Using Deep Learning for Improved Urban Waste Segregation in Sri Lanka
Research repository for deep learning-based waste classification and cross-geographic generalization analysis using TrashNet and a newly constructed Sri Lankan waste image dataset.
University of Vavuniya, Sri Lanka — 2025
Abstract
This research investigates the geographic generalization limitations of deep learning-based waste classification models trained on foreign… See the full description on the dataset page: https://huggingface.co/datasets/logeesan21112/waste-classification-sri-lanka.SRe2Lsimple_cn_food_demo
AutoTrain Dataset for project: demo-resnet50-test
Dataset Description
This dataset has been automatically processed by AutoTrain for project demo-resnet50-test.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<600x600 RGB PIL image>",
"target": 0
},
{
"image": "<600x799 RGB PIL image>",
"target": 1
}]… See the full description on the dataset page: https://huggingface.co/datasets/SRGui/simple_cn_food_demo.