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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,461 datasets
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.
A computer vision dataset titled 'YOLO_PCB_DATASET' published on Kaggle. The dataset likely contains images of printed circuit boards (PCBs) intended for training object detection models, such as the YOLO architecture. Its specific size, creation date, and authorship are not provided in the available metadata.
Over 135 countries between 2000 and 2023 are covered by this dataset tracking monthly events related to democratic backsliding and authoritarian consolidation. It classifies events into an analytical framework, providing narrative descriptions and coding for actors and targets involved in each event. The dataset is authored by Jessica Gottlieb and hosted by Harvard Dataverse.
Iron County, Michigan road network shapefile extracted from the U.S. Census Bureau's MAF/TIGER System. The dataset includes all road and path features, such as primary roads, city streets, bike paths, and private service roads, distinguished by MAF/TIGER Feature Classification Codes beginning with 'S'. It is part of a national series designed to be used independently or combined for full coverage.
A large-scale, multi-institutional dataset containing 36,390 three-dimensional CT volumes from 145 medical centers. It includes expert-validated, voxel-wise annotations of over 993,000 anatomical structures, covering pancreatic tumors and surrounding organs. The dataset was created by JHU and is hosted by BodyMaps.
A dataset of approximately one million images, likely corresponding to the ImageNet-1K (ILSVRC) benchmark. It is published on Kaggle and has been converted into the TensorFlow TFRecord format for efficient machine learning workflows. The specific version, source, and creation date are not provided in the available metadata.
Kaggle hosts a collection of videos for pose estimation tasks. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Users must download the data to verify its exact composition and suitability for their projects.
A pre-trained model file for the EfficientNetB0 architecture, published on Kaggle. The file likely contains the learned weights for image classification tasks, with the final classification layer removed. The author, organization, and specific training data are unknown.
Kaggle hosts a collection of labelled fruit images. The dataset is intended for training object detection systems. The author, organization, and specific scale of the collection are unknown.
U.S. Census Bureau TIGER/Line shapefiles contain the geographic boundaries for Florida's lower state legislative chamber districts. The data reflects updates provided by the state by May 31, 2024, and includes a unique three-character census code for each district. It is part of a national series designed to stand alone or be combined for full coverage.
YOLO_outputcsv is a dataset published on Kaggle. The dataset likely contains tabular output from a YOLO (You Only Look Once) object detection model, such as bounding box coordinates and class labels. Its specific contents, scale, and origin require verification after download.
CNN_Image_Classification is a dataset hosted on Kaggle. The dataset likely contains images intended for classification tasks using convolutional neural networks. Its specific size, source, and creation date are not provided in the available metadata.
Kaggle hosts a dataset focused on object detection, a core computer vision task. The dataset likely contains images with bounding box annotations for training and evaluating detection models. Specific details on the number of images, annotation format, and source are not provided in the minimal metadata.
A computer vision dataset titled 'maxing_shigan_ar' published on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Users must download the dataset to verify its actual composition and suitability for their tasks.
Aggregating MediaPipe Holistic landmark features extracted from the How2Sign American Sign Language (ASL) video corpus. It provides synchronized skeletal and facial keypoints across three categories: body pose, hand gestures, and facial expressions.
Giving access to coral reef imagery categorized for marine biology analysis. The collection includes labeled data for both image-level classification and spatial localization of reef structures to support deep learning research.
Image files of Batik Nusantara patterns representing Indonesian cultural heritage. Every image in the collection is provided at a fixed resolution of 224x224 pixels.
Made up of images of water bottles categorized by their internal liquid levels. The collection provides visual data for training machine learning models to distinguish between different states of container fullness for inventory or industrial monitoring.
A source of line-level handwritten images and corresponding transcriptions focused on French-language text. It facilitates the training of optical character recognition models on realistic, non-synthetic handwriting samples derived from correspondence.
Presenting an image dataset intended for the forest fire detection problem. The dataset is tagged for Image and Business applications. Specific details on the number of images, features, or creation metadata are not provided.