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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,390 datasets
Bag ResNet1 is a dataset published on Kaggle. The title suggests it is likely related to image classification, potentially using a ResNet architecture. Metadata is minimal; actual content requires verification after download.
A dataset for pose estimation tasks, likely containing images of tennis players annotated with keypoints. The data appears to be structured according to the Common Objects in Context (COCO) annotation format. It was published on Kaggle, but details on the author, organization, and specific temporal coverage are unknown.
PPE Final V1 YOLO 4-Class Clean is a dataset hosted on Kaggle. The title and platform tags suggest it contains images for detecting four classes of Personal Protective Equipment using the YOLO object detection framework. The dataset's author, organization, size, and update history are unknown.
Kaggle hosts this dataset titled 'Plates_Datasets(YOLO)'. The title and platform tags suggest it contains images annotated for object detection, likely using the YOLO (You Only Look Once) framework. The dataset's specific content, size, and origin are not detailed in the provided metadata.
Kaggle hosts a dataset titled 'Tennis Pose Estimation'. The dataset likely contains images or video frames of tennis players, intended for training and evaluating pose estimation models. Its specific scale, creator, and collection timeframe are not detailed in the provided metadata.
A merged collection of images for semantic segmentation tasks in football. The dataset is hosted on Kaggle, but details on its size, source, and creation date are not provided in the available metadata. Its content likely contains pixel-level annotations for objects on a football field, such as players, the ball, and field markings.
A Kaggle-hosted dataset of images for training object detection models to identify common snake species. The dataset's specific size, annotation details, and collection methodology are not provided in the metadata. Its origin, time range, and geographic scope are unknown.
A collection of images captured by CCTV cameras, published on Kaggle. The dataset likely contains visual data for computer vision tasks. The author, organization, and specific collection details are unknown.
The U.S. Geological Survey compiled an inventory of 384 rare earth and rare metal occurrences across Central Asia. This database includes detailed information on location, deposit type, geology, production, resources, and development status for sites in Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan, and Turkmenistan. The inventory was completed in 2016 to assess the mineral potential of the region.
selected_imagenet is a dataset hosted on Kaggle. The title suggests it is a subset derived from the ImageNet database, which is widely used for computer vision tasks. The dataset's specific contents, size, and creation details are not provided in the available metadata.
chosen_imagenet is a dataset hosted on Kaggle. The title suggests it is a curated or selected subset of the ImageNet dataset, which is a large-scale image database for visual object recognition research. The specific selection criteria, size, and contents require verification after download.
Intel Image Classification is a dataset for multiclass scene recognition, published on Kaggle. The dataset likely contains images categorized into four distinct scene classes. The specific number of images, collection method, and author are not provided in the available metadata.
A set of pre-trained model weights for a computer vision architecture, published on Kaggle. The dataset likely contains the parameters for a neural network based on the EfficientNet architecture, potentially fused with other components. Specific details regarding the training data, performance, and intended task are not provided in the available metadata.
OCR Trying is a dataset published on Kaggle. The title suggests it contains data related to optical character recognition tasks. The dataset's specific content, size, and origin are not detailed in the provided metadata.
May 2010 site survey documents drilling hazards for oil and gas exploration in UK North Sea blocks 15/18 and 15/19. The British Geological Survey provides this data under DECC Reference Number 2228.
Kaggle hosts the LLIE_CSDNET_CSDGAN dataset, which appears to focus on low-light image enhancement. The dataset likely contains images for training and evaluating computer vision models, specifically those using Generative Adversarial Networks (GANs). Its specific size, source, and creation date are not provided in the available metadata.
DIRPW is a Kaggle-hosted image dataset focused on the Red Palm Weevil, a significant agricultural pest. The dataset likely contains photographs intended for computer vision tasks in pest detection and monitoring. Its specific scale, collection method, and authorship are not detailed in the provided metadata.
PDT_dataset_yolov8 is a dataset hosted on Kaggle, likely containing images for training and evaluating object detection models. The dataset's specific content, size, and origin are not detailed in the available metadata. Its platform tags indicate a focus on computer vision tasks using the YOLOv8 architecture.
D4_PINN-and-resnet is a dataset hosted on Kaggle. The title and platform tags suggest it contains data related to Physics-Informed Neural Networks (PINNs) and ResNet architectures. Metadata is minimal; actual content, size, and authorship require verification after download.
dhbk_hb_emb cnn gei 255 v24.8 is a dataset published on Kaggle. The title and platform tags suggest it contains image embeddings, likely generated by a CNN (Convolutional Neural Network) model. The specific data content, scale, and origin are not detailed in the provided metadata.