datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bdd100k-det
Dataset Card for bdd100k-validation
From one of the largest open source driving datasets, BDD100k, is the BDD100K images dataset.
The dataset consists of every 10th second in the videos and contains a train, validation and test split.
It contains labels for object detection, weather, time of day, and scene of the driving!
This is a FiftyOne dataset with 10000 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone… See the full description on the dataset page: https://huggingface.co/datasets/ShantyCam/bdd100k-det.ricemaize
🌾 Rice & Maize Crop Disease & Pest Detection Dataset
A comprehensive dataset containing 29,052 images for Rice and Maize crop health monitoring, disease identification, and pest detection.
📊 Dataset Structure
1. Maize (maize/) — 10,445 Images (9 Classes)
Diseases: Common Rust, Gray Leaf Spot, Northern Leaf Blight, Ear Rot
Healthy: Healthy Maize
Pests: Fall Armyworm, Stem Borer, Corn Borer, Army Worm
2. Rice (rice/) — 18,607 Images… See the full description on the dataset page: https://huggingface.co/datasets/shanmuga12234/ricemaize.mot20-det
MOT20
MOT20 is a benchmark dataset for single-camera multi-object tracking (MOT) and pedestrian detection in very crowded real-world scenes. This Hugging Face repository provides MOT20 in the original MOTChallenge-style structure for research, benchmarking, training, and evaluation of multi-object tracking systems.
MOT20 was introduced to stress-test MOT methods in high-density pedestrian scenes, including crowded squares, indoor train stations, stadium exits, and pedestrian… See the full description on the dataset page: https://huggingface.co/datasets/ShantyCam/mot20-det.ai-image-detection-dataset
AI-Image Detection Dataset
Paired real / AI images, with shared image-grounded captions, for training and
evaluating AI-generated-image detectors.
Each of 10,000 real photos is captioned once (BLIP-2) and paired with one synthetic
partner per generator (6 generators → 60,000 AI images). A real image and all of its
AI partners share the same prompt, so the only systematic difference between the
classes is the generative process itself. A detector trained here is pushed toward the… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/ai-image-detection-dataset.msc-imagenet100
MSC · ImageNet-100
Per-sample Minimum Sufficient Compute for ImageNet-100 at 224px: the
cost-normalised compute each sample needs before its decision has
settled. Companion to the CIFAR-100 study at
Shanmuk4622/msc-cifar100.
Seed reliability (rho_seed, tau=0.1)
architecture
family
seeds
rho_seed
Jaccard@10
top-1
resnet50
resnet
2
0.8220
0.6208
0.8237
vit_small_p16
vit
2
0.6492
0.2777
0.6079
rho_seed is the Spearman correlation between the MSC of… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/msc-imagenet100.Refrigerator-Lighting-Module-Contact-Failure-Detection-Dataset
Refrigerator Lighting Module Contact Failure Detection Dataset
The current industrial sector faces significant challenges, particularly in the reliability of refrigerator lighting modules. Contact failures often lead to flickering or complete light outages, which can disrupt operations and impact customer satisfaction. Existing solutions are limited by their inability to effectively identify and address these failures in a timely manner. This dataset aims to provide a robust… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Refrigerator-Lighting-Module-Contact-Failure-Detection-Dataset.2026-24679-fastener-matching
24-679 (Fall 2026): Fastener Matching — Bolt-and-Nut Compatibility
shanexf/2026-24679-fastener-matching
Photographs of bolt-and-nut pairs for a binary image classifier that predicts whether the two fasteners
are compatible. Every photo shows exactly one bolt and one nut side by side. Matching and mismatching
pairs were photographed under different orientations, positions, lighting conditions, and viewing angles.
Source and task
All photographs were taken by the… See the full description on the dataset page: https://huggingface.co/datasets/shanexf/2026-24679-fastener-matching.Generator-Inspection-Dataset
Generator Inspection Dataset
Currently, the industrial sector faces significant challenges in ensuring the quality and safety of generator operations. With the increasing complexity of generator designs, timely and accurate inspection becomes paramount. Existing solutions often rely on manual inspection, which is time-consuming and prone to human error. This dataset aims to address the need for automated inspection techniques by providing a comprehensive collection of images… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Generator-Inspection-Dataset.Farmland-Surface-Change-Detection-Dataset
Farmland Surface Change Detection Dataset
The current agricultural sector faces environmental issues such as climate change and drought, which have severely impacted crop growth and yields. Existing monitoring methods often rely on manual inspections, which are inefficient and difficult to cover large areas. To improve monitoring accuracy and timeliness, this dataset aims to provide diverse farmland surface imagery data, allowing AI technologies to better identify and analyze… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Farmland-Surface-Change-Detection-Dataset.Agricultural-Pest-Disease-Image-Annotation-Bounding-Box-Polygon-Detection
Agricultural Pest & Disease Image Annotation (Bounding Box/Polygon Detection)
For intelligent pest and disease recognition in the agriculture and livestock industry, this dataset provides target region annotations on raw plant/disease images. Annotation results support both bounding boxes and polygon shapes, enabling models to learn object locations and fine-grained contours. It covers common pest/disease targets and supplies strong supervision for detection and segmentation… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Agricultural-Pest-Disease-Image-Annotation-Bounding-Box-Polygon-Detection.Fashion-T-Shirt-Occlusion-Image-Dataset
Fashion T-Shirt Occlusion Image Dataset
The retail e-commerce industry faces significant challenges in accurately recognizing and recommending fashion items due to occlusion issues in images. Current solutions often fall short in handling overlapping clothing items or partial visibility, leading to poor customer experience and lost sales opportunities. This dataset aims to address these challenges by providing a comprehensive collection of images depicting T-shirts with various… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Fashion-T-Shirt-Occlusion-Image-Dataset.Connecting-Rod-Structure-Detection-Dataset
Connecting Rod Structure Detection Dataset
The Connecting Rod Structure Detection Dataset is created to address the increasing demand for quality control in the industrial sector, where the detection of defects such as deformation and misalignment in connecting rods is critical. Traditional inspection methods are often labor-intensive and prone to human error, leading to inefficiencies and high costs. This dataset aims to provide a robust solution for automated defect detection… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Connecting-Rod-Structure-Detection-Dataset.Infant-Sleep-Posture-Recognition-Image-Dataset
Infant Sleep Posture Recognition Image Dataset
Currently, there are many challenges in improving infant sleep safety, including the difficulty of assessing posture and monitoring sleep status without affecting normal infant sleep. Existing monitoring equipment often relies on clothing sensors, which may cause discomfort and excessive interference. This dataset aims to address the risk of asphyxiation caused by incorrect infant sleep posture through visual recognition technology… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Infant-Sleep-Posture-Recognition-Image-Dataset.Sunscreen-Products-Image-Classification-Dataset
Sunscreen Products Image Classification Dataset
Currently, the retail e-commerce industry faces challenges such as low efficiency in product classification and difficulties in consumer search, especially with sunscreen products, where customers find it hard to quickly locate the required items. Existing image classification solutions lack accuracy and response speed. This dataset aims to improve the accuracy and efficiency of product recognition through high-quality images of… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Sunscreen-Products-Image-Classification-Dataset.Exhaust-Pipe-Detection-Dataset
Exhaust Pipe Detection Dataset
The current industrial sector faces significant challenges in ensuring the quality and proper assembly of exhaust systems, particularly with the risk of misassembled exhaust pipes leading to performance issues and environmental concerns. Existing solutions often lack the capability to accurately detect these misassemblies in real-time, leading to inefficiencies and potential safety hazards. This dataset aims to address these technical challenges by… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Exhaust-Pipe-Detection-Dataset.Maternity-Wear-Image-Classification-Dataset
Maternity Wear Image Classification Dataset
With the rapid development of the e-commerce industry, the demand for maternity wear is gradually increasing. However, current image classification technology still faces challenges in accuracy and data scarcity when identifying different styles of maternity wear. Most existing solutions rely on manual labeling, which is inefficient and prone to errors. This dataset aims to improve the accuracy of automated classification by providing… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Maternity-Wear-Image-Classification-Dataset.Traffic-Congestion-Recognition-Dataset
Traffic Congestion Recognition Dataset
The main challenge currently faced by the transportation industry is the increasingly severe urban congestion problem, leading to low traffic efficiency and aggravated environmental pollution. Existing traffic monitoring systems often rely on static data, lacking real-time performance and flexibility. To solve this problem, this dataset aims to provide high-quality congestion recognition data to support real-time decision-making and management… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Traffic-Congestion-Recognition-Dataset.Washing-Machine-Display-Board-Burn-Detection-Dataset
Washing Machine Display Board Burn Detection Dataset
The washing machine industry faces significant challenges related to product safety, particularly concerning electrical failures that can lead to fires. Existing solutions often rely on manual inspection, which is inconsistent and not scalable, leaving a gap in proactive failure detection. This dataset aims to address the need for automated detection of burn marks and short circuit traces on display boards, thereby improving… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Washing-Machine-Display-Board-Burn-Detection-Dataset.ldwcnet-brain-mri-5-model
LDW-CNet Training Logs & Evaluation Artefacts
This dataset repository hosts the training histories, evaluation reports, and
figures for the LDW-CNet project. The underlying brain MRI images are NOT
redistributed here — they come from the upstream Kaggle dataset
[masoudnickparvar/brain-tumor-mri-dataset]
(https://www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset).
Repository contents
training_logs/ Per-model CSV history (loss, F1, λ_wc, LR per… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/ldwcnet-brain-mri-5-model.Pumpkin-Maturity-Grading-Dataset
Pumpkin Maturity Grading Dataset
The current agricultural industry faces challenges in quality control of crops, especially in judging the maturity of pumpkins. Traditional methods often rely on manual identification, which is inefficient and prone to errors. Although existing image recognition technology has made some progress, there is a lack of high-quality datasets specifically targeted at pumpkin maturity. This dataset aims to improve the accuracy of maturity assessment for… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Pumpkin-Maturity-Grading-Dataset.Durian-Plantation-Disease-Leaf-Rot-Detection-Image-Dataset
Durian Plantation Disease Leaf Rot Detection Image Dataset
Ensures high-quality data through multiple rounds of annotation and automated consistency checks, combined with reviews by agricultural pathology experts. The annotation team consists of 10 professionals in agriculture and computer vision. Pre-processing steps include noise reduction, size adjustments, and color normalization to enhance the model's recognition capabilities. Data is stored in JPG format, organized… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Durian-Plantation-Disease-Leaf-Rot-Detection-Image-Dataset.Pansy-Recognition-Image-Dataset
Pansy Recognition Image Dataset
Currently, garden management faces the challenge of efficiently and accurately identifying flower varieties. Traditional manual identification relies on experience and is inefficient. Existing image recognition technologies still need improvement in the accuracy of specific flower types, especially in complex backgrounds. This dataset aims to address common accuracy deficiencies in pansy recognition by providing a large number of high-quality images… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Pansy-Recognition-Image-Dataset.Forklift-Loading
Forklift Loading/Unloading Operations Status Detection Image Dataset
Driven by globalization and the rise of e-commerce, the express logistics industry demands fast, safe, and efficient operational processes. Current loading and unloading operation management mainly relies on manual monitoring and experience judgment, facing challenges such as misjudgment, high risk, and inefficiency. Existing image recognition solutions perform poorly in complex warehouse environments, especially… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Forklift-Loading.Wiper-Motor-Detection-Dataset
Wiper Motor Detection Dataset
The automotive industry faces significant challenges in ensuring the reliability and functionality of components like wiper motors, which are critical for vehicle safety. Current inspection methods often rely on manual checks, leading to inconsistencies and potential oversight. This dataset aims to address the need for automated detection and classification of wiper motor conditions through advanced image processing techniques. The dataset comprises… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Wiper-Motor-Detection-Dataset.