Loading...
Loading...
Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,694 datasets
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.
CT scan images labeled for the presence or absence of brain stroke. The dataset is sourced from Kaggle and is intended for computer vision applications in medical diagnosis. The creator and specific collection date are not provided.
A pre-trained Convolutional Neural Network model designed for processing Gait Energy Images (GEI). The model, version 24.2, is hosted on Kaggle and is associated with gait recognition research. Specific details on training data volume, creator, and update timeline are not provided.
Encompassing images of chess pieces, intended for classification tasks. It is tagged for beginner-level use in image-based multiclass classification.
Latent space vectors for the ImageNet validation set, generated by a Variational Autoencoder (VAE). The dataset contains pre-computed embeddings for images, stored in the ArrayRecord format. It is derived from the ImageNet dataset and hosted on Kaggle.
ImageNet VAE Latents ArrayRecord provides precomputed latent space representations of the ImageNet dataset. The data is derived from a Variational Autoencoder (VAE) model trained on ImageNet images and is stored in the ArrayRecord format. Its origin is linked to the ImageNet project and the Kaggle platform.
EfficientNet B3 is a convolutional neural network architecture optimized for scaling and accuracy. The model is pre-trained on the ImageNet dataset, enabling transfer learning for various computer vision tasks. Its release by Google Research provides a ready-to-use foundation for image classification projects.
A collection of images for building a face mask classifier. It is tagged for applications in health, public safety, and Covid-19 contexts.