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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,511 datasets
EfficientNet weights are a set of pre-trained model parameters for a family of convolutional neural networks. The dataset likely contains the weight files necessary to initialize or fine-tune EfficientNet models for image recognition tasks. It is hosted on Kaggle, but the specific version, author, and creation details are not provided in the metadata.
A dataset likely containing images of product ingredient labels, intended for training or benchmarking the YOLOv11 object detection model. It was published on Kaggle, but details on the number of images, annotation format, and creation date are not provided in the metadata. The dataset's specific content and scale require verification after download.
A computer vision dataset for detecting ingredients, likely from images of food or cooking scenes. The dataset is hosted on Kaggle and appears to be formatted for use with the YOLOv11 object detection model. The title suggests it contains at least 1800 annotated instances.
A collection of betel leaf images sourced from Bangladesh. The dataset is hosted on Kaggle, but details on the number of images, collection method, and contributors are not provided in the available metadata. Further specifics regarding file formats, annotations, and licensing require verification after download.
Anemia using Fingernails Image Datasets from Ghana is a collection of images likely intended for medical analysis. The dataset is hosted on Kaggle, but its specific size, creation date, and authorship details are unknown. The content appears to focus on fingernail images for anemia detection in Ghana.
Fruit vegetable YOLO is a dataset published on Kaggle. Its title suggests it contains images of fruits and vegetables annotated for training YOLO-based object detection models. The dataset's author, organization, size, and update date are unknown.
CrowdHuman Yolo is a dataset for computer vision tasks, likely focused on detecting humans in images. The dataset is hosted on Kaggle, but its specific contents, scale, and creation details are not provided in the available metadata. Further details about the number of images, annotation types, and original authors are unknown.
Kaggle hosts a dataset titled 'Fruit & Road Object Detection YOLOv8'. The dataset likely contains images annotated for object detection tasks, specifically focusing on fruit and objects found on roads. Its author, organization, and specific details are unknown.
dhbk_hb_model cnn gei 045 v24.4 is a pre-trained convolutional neural network model hosted on Kaggle. The dataset likely contains model weights and architecture files for computer vision tasks. Its specific purpose and training data are not detailed in the provided metadata.
dhbk_hb_model CNN GEI 045 v24.3 is a pre-trained convolutional neural network model published on Kaggle. The model likely contains weights and architecture parameters for computer vision tasks. Its specific training data, performance metrics, and intended application are unknown.
DHBK HB Emb CNN GEI 045 V24.3 is a dataset published on Kaggle. The title suggests it likely contains image data for computer vision tasks. Metadata is minimal; actual content requires verification after download.
The dataset title suggests a computer vision dataset, likely containing images. It is hosted on Kaggle, but the author, organization, and detailed content are unknown. The dataset's specific purpose and structure require verification after download.
Kaggle hosts a dataset titled 'merged-yolo-weapon-dataset'. The dataset likely contains images annotated for weapon detection using the YOLO (You Only Look Once) object detection framework. Its specific size, source, and creation date are unknown.
A pre-trained model for Generative Adversarial Networks (GANs) hosted on Kaggle. The specific architecture, training data, and performance metrics are not detailed in the available metadata. Users must download the model to verify its capabilities and intended application.
PKU PCB Dataset likely contains images of printed circuit boards annotated for object detection tasks. The dataset is hosted on Kaggle, but its exact size, creation date, and authorship are unknown. Columns suggest it includes image files and bounding box annotations compatible with the YOLO object detection framework.
Aksara Jawa Kombinasi Sandhangan Dataset is a collection of images for Javanese script characters combined with diacritical marks (sandhangan). The dataset is hosted on Kaggle. The specific scale, creator, and update date are not provided in the available metadata.
A Kaggle dataset likely containing images of fruits and vegetables annotated for object detection tasks. The dataset's title suggests it is formatted for use with the YOLO (You Only Look Once) deep learning model. Specific details about the number of images, annotation format, and source are unknown.
Fruit-Veg-Merged-YOLO-Dataset is a collection of images likely annotated for object detection tasks. Published on Kaggle, it appears designed for training YOLO models. The dataset's specific size, creator, and update date are unknown.
sleep-detection-yolo-dataset is a dataset hosted on Kaggle. The title suggests it contains images annotated for detecting sleep-related states or objects, likely intended for training YOLO-based computer vision models. The dataset's author, organization, size, and update history are unknown.
dhbk_hb_model cnn gei 060 v24.6 is a pre-trained convolutional neural network model hosted on Kaggle. The title suggests it is likely designed for image classification or feature extraction tasks. Its specific architecture, training data, and performance metrics require verification after download.