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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,460 datasets
UTK_face_Dataset_augumented_Balanced is a ready-to-train dataset for YOLOv8. It contains images resized to 640x640 pixels and is organized into 10 balanced classes based on age and gender. The dataset's author, organization, and specific collection details are not provided in the input.
4,200+ images sourced from Pinterest. The dataset is organized into six distinct visual categories, making it suitable for classification tasks. The author, organization, and last update date are unknown.
Infrared images are provided for evaluating contrast and dynamic range enhancement algorithms. The dataset is hosted on Kaggle, but details on its size, author, and creation date are not specified. Its primary purpose is to serve as a benchmark for image processing tasks in the infrared spectrum.
A diverse real-world dataset intended for training convolutional neural networks (CNNs) for crack detection in buildings. The dataset is hosted on Kaggle, but specific details on volume, source, and creation date are not provided. Its primary purpose is to support the development of automated visual inspection systems.
Keras implementation of the RetinaNet object detection model, sourced from Kaggle. The dataset's specific size, creation date, and author are not provided in the metadata. It is intended for use in computer vision tasks.
A computer vision dataset for predicting age and sex from images, likely using a Convolutional Neural Network (CNN) architecture. The dataset's origin, size, and specific image contents are not detailed in the provided metadata. It is hosted on the Kaggle platform, which is a common source for machine learning datasets and competitions.
Images of modern military aircraft curated for machine learning classification tasks. The dataset is hosted on Kaggle, but its size, author, and specific contents are not detailed. Its primary purpose is to serve as a visual resource for training computer vision models.
Fingertip image dataset for biometric and computer vision research. The dataset is hosted on Kaggle, but its author, organization, and specific details like size and license are unknown.
A vision dataset for detecting oversized coal and rock bolts in mine conveyor systems. The dataset is hosted on Kaggle and tagged with topics including engineering and China. Specific details on size, format, and provenance are unavailable.
Pre-trained ResNet models for the torchvision library. The models are continuously updated. The dataset's author, organization, and specific version details are unknown.
A3D-YOLOV8 is a YOLOv8-based model designed for detecting driver drowsiness and issuing alerts in real-time. The dataset likely contains images or video frames annotated for drowsiness detection. The author, organization, and specific data details are unknown.
YOLOR_pytorch is a dataset or implementation related to the 'You Only Learn One Representation' unified network architecture. The platform tags indicate it pertains to computer vision, convolutional neural networks, and PyTorch. The dataset likely contains image data for training or evaluating multi-task models.
A South Korean dataset of images from convenience stores, focused on product expiration dates. The dataset is intended for training and evaluating optical character recognition (OCR) and object detection models. The author, organization, and specific collection details are not provided.
Electrical Panels Detection Dataset is designed for object detection and counting tasks. The dataset likely contains images of electrical panels and their components. Its author, organization, and specific size are unknown.
A collection of images depicting three staple crops—tomatoes, beans, and maize—from Sub-Saharan Africa. The dataset is intended for machine learning and deep learning applications, such as crop classification. Its origin, size, and specific collection details are not provided.
Deep learning-based classification of solar panel surfaces using Convolutional Neural Networks (CNN) and YOLO models. The dataset is hosted on Kaggle and focuses on image analysis for solar energy applications. Its specific size, origin, and update history are not detailed in the provided metadata.
Cleaned image dataset for distinguishing fresh from rotten vegetables. The collection has had duplicate images removed, which suggests a focus on data quality for model training. The dataset's origin, size, and specific vegetable types are not detailed in the provided metadata.
BPIC15 Event Log Dataset provides data for process mining and organizational performance analysis. The dataset includes both processed and raw event logs. It was sourced from Kaggle, but the original author, organization, and specific temporal coverage are not detailed in the provided metadata.
A multi-class image dataset for classifying characters from the Spider-Man universe. The dataset is hosted on Kaggle and is intended for computer vision tasks. The author, organization, and specific scale of the collection are unknown.
Offroad-segmentation-full is a dataset for semantic segmentation tasks in off-road environments. The dataset includes training scripts, suggesting it is intended for machine learning model development. The author, organization, and specific data scale are unknown.