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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,520 datasets
A set of pre-trained neural network weights for the EfficientNetB4 architecture. The file likely contains the model parameters trained on a large image dataset, excluding the final classification layers. It is hosted on Kaggle.
A dataset likely containing images annotated for weapon detection, intended for training the YOLOv12 object detection model. It is hosted on Kaggle, but no further metadata is available. The dataset's specific content, size, and origin require verification after download.
FCAE-YOLO Phase2 Fisher Results is a dataset published on Kaggle. The title suggests it contains results, likely evaluation metrics or detection outputs, from a Phase 2 experiment involving the FCAE-YOLO object detection model. Specific details on the number of records, data format, and creation context are not provided in the available metadata.
PediaSHF-DX-yolo-splitted is a dataset hosted on Kaggle. The title suggests it contains medical images related to pediatric heart failure diagnosis, likely split for use with the YOLO object detection framework. No further metadata on size, source, or specific content is available.
Weapon_detection_Yolov12n is a dataset hosted on Kaggle. Its title suggests it contains images annotated for detecting weapons, likely intended for training or evaluating the YOLOv12n object detection model. The dataset's specific contents, size, and origin are not detailed in the provided metadata.
A pre-trained model, likely a Convolutional Neural Network (CNN), published on Kaggle. The title suggests it may be version 24.4 of a model architecture. Specific details on training data, performance, and intended use are unavailable from the provided metadata.
A dataset published on Kaggle. The title suggests a focus on computer vision, likely involving Convolutional Neural Networks (CNNs) and embeddings. The specific content, scale, and origin are unknown from the provided metadata.
A dataset named 'prepared_model_vgg16_lstm_attention_30k' published on Kaggle. The title suggests it likely contains data related to a pre-trained deep learning model combining VGG16, LSTM, and attention mechanisms. Specific details about its contents, size, and origin are unavailable.
prepared_model_resnet50_lstm_attention_30k is a dataset published on Kaggle. Its title suggests it likely contains weights or parameters for a hybrid neural network architecture combining a ResNet50 convolutional backbone with an LSTM and attention mechanism. The dataset's specific content, size, and provenance are unknown.
ResNet101-cifar100-200epoch-trained is a pre-trained neural network model available on Kaggle. The model likely contains weights and architecture parameters for a ResNet101 model trained on the CIFAR-100 image dataset for 200 epochs. Its specific performance metrics and training details are unknown from the provided metadata.
Preprocessed_data_VGG16_attn likely contains image data formatted for use with the VGG16 convolutional neural network architecture, focusing on attention mechanisms. The dataset is hosted on Kaggle, but its specific contents, size, and creation details are unknown. Columns, sample data, and author information are unavailable.
Prepared_data_resnet50_attn is a dataset hosted on Kaggle. Its title suggests it likely contains processed features or attention maps derived from a ResNet50 model applied to images. The dataset's specific content, size, and origin are unknown.
Pages 120-159 from the first volume of the manga series Gantz. The dataset likely contains sequential image panels from a specific segment of the comic. It is hosted on Kaggle under the tag 'Pre Trained Model', suggesting it may be intended for model training.
An image dataset likely containing photographs of athletes for classification tasks. The dataset is hosted on Kaggle and includes platform tags for football, tennis, and baseball, suggesting a focus on these sports. Details on size, author, and update frequency are not provided in the metadata.
Mars surface imagery likely annotated for crater detection. The dataset is hosted on Kaggle, but its specific size, creation date, and author are unknown. Columns and sample data are unavailable, limiting pre-download assessment.
A Generative Adversarial Network encoder-decoder model trained on three unspecified datasets. The model is hosted on Kaggle and is categorized as a pre-trained model. The specific datasets used, model architecture, and performance metrics are not detailed in the provided metadata.
A pre-trained ResNet18 model weights file, likely trained for 60 epochs on the CIFAR-100 dataset. The dataset is hosted on Kaggle. The specific contents and performance metrics require verification after download.
A collection of images of steel samples captured using a scanning electron microscope. The dataset is hosted on Kaggle, but details on the number of images, sample origins, and collection date are not provided. The author, organization, and specific time range are unknown.
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.