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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,491 datasets
Kaggle hosts a dataset of side scan sonar images intended for object detection tasks. The dataset's specific size, collection date, and creator are not detailed in the provided metadata. Metadata is minimal; actual content requires verification after download.
Trash-ICRA19-YOLO-Format is a dataset likely prepared for object detection tasks related to waste. It appears to be formatted for the YOLO (You Only Look Once) object detection model, suggesting it contains images with bounding box annotations. The dataset originates from the ICRA 2019 conference and is hosted on Kaggle, though detailed metadata is unavailable.
A dataset for remote sensing image classification tasks, published on Kaggle. The dataset's specific size, source, and creation date are not provided in the available metadata. Further details about the imagery, labels, and geographic scope require verification after download.
A pre-trained Convolutional Neural Network model, version 24.2, uploaded to Kaggle. The title suggests it may be related to a 'gei' or 'hb' model architecture. Its specific application, training data, and performance characteristics require verification after download.
A dataset titled 'dhbk_hb_emb cnn gei 195 v24.2' is hosted on Kaggle. The title suggests it contains image embeddings generated by a Convolutional Neural Network (CNN), likely for a computer vision task. The specific source, size, and creation date are unknown.
A dataset named YOLO_K, likely related to object detection tasks using the YOLO (You Only Look Once) model architecture. It is hosted on Kaggle, but no further metadata such as size, columns, or authorship is provided. The dataset's content and scope must be verified after download.
A pre-trained Convolutional Neural Network model, version 24.5, hosted on Kaggle. The specific architecture, training data, and performance metrics are not detailed in the provided metadata. Users must download the model files to inspect its intended application and capabilities.
A dataset titled 'dhbk_hb_emb cnn gei 000 v24.5' published on Kaggle. The title suggests it contains CNN (Convolutional Neural Network) embeddings, likely for image classification tasks. The specific content, scale, and origin are unverified due to minimal metadata.
An image dataset for binary classification tasks, specifically cats versus dogs. It is hosted on Kaggle and likely contains labeled images intended for training and evaluating Support Vector Machine models. The dataset's origin, size, and creation date are not specified in the available metadata.
scene_features_resnetfpnfinetune is a dataset hosted on Kaggle. The title suggests it contains extracted visual features from scenes, likely using a ResNet architecture with a Feature Pyramid Network (FPN) that has been fine-tuned. The dataset's specific content, size, and origin are unknown.
A pre-trained Convolutional Neural Network (CNN) model, identified as version 24.2, is hosted on Kaggle. The dataset's title suggests it is likely intended for image classification or feature extraction tasks. Specific details on the model's architecture, training data, and performance are not provided in the available metadata.
CNN-generated image embeddings from an unknown source, published on Kaggle. The dataset's title suggests it contains feature vectors extracted by a convolutional neural network, likely for 180 images or classes. Specific details regarding the original images, creator, and creation date are unavailable.
A dataset likely designed for training and benchmarking object detection models, particularly for detecting small objects. The dataset title suggests a focus on the YOLO (You Only Look Once) architecture and a 'BestPT' variant. It is hosted on Kaggle, but detailed metadata such as author, size, and sample count are unavailable.
An image dataset focused on sunflower growth stages for phenology research. The dataset is hosted on Kaggle, but details on its size, collection method, and authorship are not provided in the metadata. The content likely contains photographs of sunflowers at different developmental phases.
A collection of images related to rice, hosted on Kaggle. The dataset's specific size, creation date, and authorship are not detailed in the provided metadata. Its content and structure require verification after download.
A pre-trained Convolutional Neural Network model, likely for image analysis, hosted on Kaggle. The title suggests it is version 24.3 of a model potentially named 'dhbk_hb_model'. The author, organization, and specific training data are unknown.
A pre-trained Convolutional Neural Network (CNN) model, likely for image analysis tasks, is hosted on Kaggle. The model's version is indicated as v24.6. Its specific architecture, training data, and performance metrics are not detailed in the available metadata.
dhbk_hb_emb cnn gei 000 v24.6 is a dataset published on Kaggle. The title suggests it contains convolutional neural network (CNN) embeddings, likely derived from image data. The specific source, size, and creation details are not provided in the available metadata.
Kaggle hosts this dataset titled 'dhbk_hb_emb cnn gei 180 v24.3'. The title suggests it contains image embeddings generated by a Convolutional Neural Network (CNN). The author, organization, and specific details about the source images are unknown.
AOD 4 is a dataset for airborne object detection, published on Kaggle. The dataset's specific content, size, and creation details are not described in the available metadata. Further verification after download is required to confirm its scope and structure.