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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,915 datasets
Kaggle dataset titled 'prepared_data_vgg16_attention'. The dataset likely contains image data preprocessed for use with the VGG16 convolutional neural network architecture and attention mechanisms. Metadata is minimal; actual content requires verification after download.
A dataset of model weights for a YOLO-based computer vision architecture, published on Kaggle. The specific architecture appears to combine YOLOv11n and P2deep components with a weight concatenation method. The exact number of weights, training data, and performance metrics are unknown from the provided metadata.
Mpox train for yolo suggests a collection of images intended for training YOLO object detection models. The dataset is hosted on Kaggle, but its specific scale, origin, and creation date are not provided. Columns and sample data are unknown, limiting detailed assessment prior to download.
dhbk_hb_model cnn gei 225 v24.2 is a pre-trained model published on Kaggle. The title suggests it is a Convolutional Neural Network (CNN) model, likely for image-based tasks. Specific details on architecture, training data, and performance are unavailable from the provided metadata.
dhbk_hb_emb cnn gei 225 v24.2 is a dataset of image embeddings likely generated by a Convolutional Neural Network (CNN). The dataset is hosted on Kaggle, but details on its size, source, and creation date are not provided in the metadata. The title suggests it contains feature vectors (embeddings) extracted from images using a CNN architecture.
mydata1_vgg is a dataset hosted on Kaggle. The title suggests a connection to the VGG architecture, a prominent model in computer vision. Its specific content, scale, and origin are not detailed in the provided metadata.
ImageNet is a large-scale image database for visual object recognition research. The class index likely maps numeric identifiers to descriptive labels for the dataset's categories. This dataset is hosted on Kaggle.
Image classification data for evaluating convolutional neural network performance. The dataset is hosted on Kaggle, but its size, creation date, and authorship are unspecified. Content details require verification after download.
flower-classification-cnn is a dataset hosted on Kaggle. The title suggests it contains images of flowers intended for training and evaluating convolutional neural network models. The dataset's specific size, source, and creation date are not provided in the available metadata.
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.