datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TIR-Bench
TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning
Introduction:
TIR-Bench is a comprehensive benchmark designed to evaluate the "thinking-with-images" capabilities of Multimodal Large Language Models (MLLMs), addressing a gap left by existing benchmarks like Visual Search which only test basic operations. As models like OpenAI o3 begin to intelligently create and operate tools to transform images for problem-solving, TIR-Bench provides 13… See the full description on the dataset page: https://huggingface.co/datasets/Agents-X/TIR-Bench.TiROD
Short Summary
TiROD is an Object Detection Dataset collected with the ESP32-cam mounted on a small mobile robot.
TiROD contains 5 distinct domains each with 2 type of illumination levels; it is designed to benchmark Continual Object Detection Algorithms.
For more informations please refer to:
Website
Code
Paper PDF
📊 Dataset Information
Attribute
Description
Name
TiROD
Number of Images
17.4K
Images Size
640x480x3
Number of Classes
13
Data… See the full description on the dataset page: https://huggingface.co/datasets/pastifra/TiROD.TextAtlas5M
TextAtlas5M
This dataset is a training set for TextAtlas.
Paper: https://huggingface.co/papers/2502.07870
(All the data in this repo is uploaded :>)
Dataset subsets
Subsets in this dataset are CleanTextSynth, PPT2Details, PPT2Structured,LongWordsSubset-A,LongWordsSubset-M,Cover Book,Paper2Text,TextVisionBlend,StyledTextSynth and TextScenesHQ. The dataset features are as follows:
Dataset Features
image (img): The GT image.
annotation (string): The input prompt… See the full description on the dataset page: https://huggingface.co/datasets/Tirthanker/TextAtlas5M.tires_project
Tyre Quality Classification Dataset
Ce dépôt contient des informations sur un dataset utilisé pour la classification de la qualité des pneus. Le dataset est hébergé sur Kaggle et a été créé par Chirag Chauhan.
Source
Lien Kaggle : Tyre Quality Classification Dataset
Auteur : Chirag Chauhan
Mise à jour : il y a 2 ans
Licence
Code : Licence Apache 2.0
Données : Creative Commons Attribution 4.0 International (CC BY 4.0)
Références
Ce dataset… See the full description on the dataset page: https://huggingface.co/datasets/flodussart/tires_project.TIRAuxCloud
TIRAuxCloud: A Thermal Infrared Dataset for Day and Night Cloud Detection
TIRAuxCloud is a multi-modal dataset designed to support all day cloud segmentation, with a particular focus on thermal infrared (TIR) imagery. It combines multispectral observations from Landsat and VIIRS with auxiliary information such as elevation, land cover, meteorological variables, and cloud-free reference imagery. The dataset includes both automatically generated cloud masks and manually annotated… See the full description on the dataset page: https://huggingface.co/datasets/tirauxcloud/TIRAuxCloud.plantseg-lookalike
PlantSeg Subtle Disease Look-Alike Pairs
A benchmark of 38,239 subtle, visually confusable plant-disease image pairs mined
from PlantSeg v3. Each pair shows two
different diseases on the same crop and the same plant organ whose appearance is
genuinely hard to tell apart — and every single pair is web-verified: it ships a
verbatim "looks-alike" quote from a cited, live source confirming the two diseases are
actually confused in the agronomic literature.
Useful for studying… See the full description on the dataset page: https://huggingface.co/datasets/tirtho149/plantseg-lookalike.embellishments-sample
Dataset Card for "embellishments-sample"
More Information needed
tires_project_roboflowGood_TiresSAGE-sample
SAGE — Sample (10 crops preview)
A focused 10-crop sample of the full tirtho149/SAGE dataset. Each (crop, disease) class contributes up to 10 images (fixed seed for reproducibility).
For the full ~280 GB dataset, see tirtho149/SAGE.
Crops included
Crop
Disease classes
Images
Apple
36
209
Corn
86
679
Cotton
14
74
Mango
9
55
Potato
37
306
Rice
39
261
Soybean
58
498
Sugarcane
17
170
Tomato
48
365
Wheat
53
374
TOTAL
1,848… See the full description on the dataset page: https://huggingface.co/datasets/tirtho149/SAGE-sample.Defective_TiresNSE_top100_chart_candlestick_order_5min_tfTIR
Dataset Card for "TIR"
More Information needed
BANKNIFTY_5MINTF_15MINPERIODNSE_top100_chart_candlestick_order_1min_tfNSE_top100_chart_candlestick_order_3min_tfNSE_top100_chart_candlestick_order_15min_tfBanknifty_chart_ohlc_5min_2daysNSE_top100_chart_candlestick_order_10min_tfBanknifty_chart_ohlc_5min_2days_with_test_dataMATH_OOD_Test_D1_Base_Model_Eval_TIRsample_data_tireTIRpigear-23189GTZANForAttributionMapSonificationmy_tire_datasetperiapical-lesions-pai
Periapical Lesions in Panoramic Radiographs
3,863 dental panoramic X-rays with periapical lesion boxes (COCO [x, y, w, h]), each graded PAI 3, 4 or 5.
Source: Do et al., Mendeley Data and Data in Brief (2024), CC BY 4.0. Changes: augmented copies and 61 duplicates removed, splits added.
