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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,522 datasets
EfficientNet-B0 model weights trained on the ImageNet dataset. The dataset likely contains the parameter files necessary to initialize or fine-tune this specific convolutional neural network architecture. Published on Kaggle, its exact size, version, and licensing details are not provided in the metadata.
Kaggle hosts the SonicLens Multi-Modal Scene Understanding Challenge dataset. The dataset likely contains multi-modal data, such as images paired with audio or text, intended for a competition. Its specific content, scale, and creation details require verification after download.
BirdCLEF V27 E1 - EfficientNetB7 235sp is a pre-trained model for bird species classification, likely derived from the BirdCLEF competition on Kaggle. The model appears to be an EfficientNetB7 architecture trained to identify 235 distinct bird species. Its specific performance metrics, training data, and intended application require verification after download.
A dataset published on Kaggle, likely containing images annotated for object detection tasks using the YOLO model framework. The specific content, scale, and creation details are not provided in the available metadata. Users must download the dataset to verify its exact composition and suitability for their projects.
Bounding Boxes for ACSK LSTM model in VQA is a dataset hosted on Kaggle. The dataset's title suggests it contains bounding box annotations, likely for images used in Visual Question Answering tasks. Specific details on the number of images, annotation format, and creation date are not provided in the available metadata.
Input_OCR is a dataset for optical character recognition tasks, published on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Further details about the number of images, text samples, or annotation specifics require verification after download.
OCR Checkpoint QuyetDinh is a dataset published on Kaggle. The title suggests it relates to optical character recognition, likely containing model weights or training data for document text extraction. Metadata is minimal; the actual content and structure require verification after download.
A dataset for detecting Indian vehicle number plates using YOLO object detection models. The data was sourced from Kaggle, but the author, organization, and specific collection details are not provided. The last update date and dataset size are unknown.
A pre-trained Convolutional Neural Network (CNN) model designed for processing Gait Energy Images (GEI), likely for biometric identification. The model, version 24.3, is hosted on Kaggle and is associated with computer vision tasks. Specific details on the training data size, creator, and update date are not provided.
Version 24.3 of a dataset containing 195 Gait Energy Image (GEI) features for human biometrics. The data is derived from CNN processing and is categorized under computer vision. It is hosted on Kaggle, but specific authorship and temporal details are not provided.
A dataset for training YOLOv8 object detection models on plant disease identification. The specific number of images, rows, and features is unknown.
A supervised training dataset focused on agricultural knowledge and reasoning, assembled by ai71 in partnership with organizations including CGIAR, ECHO, Digital Green, Embrapa, FAO, the World Bank, IFAD, the Gates Foundation, KALRO, KIADPAI, and the Extension Foundation. The dataset was last updated on the Hugging Face platform on 2025-12-11.
A dataset of annotated images for detecting plant diseases across 29 crop classes. The dataset is formatted for use with the YOLOv8 object detection model. Its origin, size, and specific collection details are unknown.
Martian/Lunar Crater Detection Dataset is an image collection for detecting craters on the surfaces of Mars and the Moon. The dataset is hosted on Kaggle and is tagged for astronomy and computer vision applications. The author, organization, and specific data volume are unknown.
An image collection of leaves from five grapevine cultivars: Ak, Ala Idris, Büzgülü, Dimnit, and Nazli. The dataset is hosted on Kaggle and is intended for computer vision tasks in agriculture. Details on the collection date, author, and dataset size are not provided.
A standard computer vision dataset for image classification tasks. The dataset is hosted on Kaggle and is tagged for topics including animals, artificial intelligence, and CNNs. Specific details on size, origin, and update frequency are not provided in the available metadata.
Images of plants annotated with bounding boxes for object detection tasks related to disease identification. The dataset is associated with YOLO model training, as indicated by platform tags like Yolov5 and Yolov8. Details on the number of images, creator, and update date are unavailable.
A dataset from paperswithcode, likely containing academic research or analysis related to civil rights during the Cold War era. The specific content, volume, and creation details are not provided in the metadata. The topic suggests an intersection of U.S. history, race relations, and international politics.
The World Health Organization Quality of Life–BREF (WHOQOL-BREF) is a standardized survey instrument for assessing an individual's quality of life across multiple domains. It is published on the paperswithcode platform. The dataset likely contains survey responses and derived scores, though specific column details and scale are unknown.
A dataset likely containing research papers or articles on prison healthcare systems. It is sourced from the paperswithcode platform, which aggregates academic datasets. The dataset's license is closed, restricting its use.