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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,486 datasets
An open-source synthetic dataset for computer vision tasks, created by Simuletic. It is designed for fall detection, pose estimation, and incident monitoring from overhead CCTV camera perspectives. The dataset includes keypoint annotations for human posture, which may help models distinguish between standing and fallen individuals.
Parking Sign Detection COCO Dataset is a collection of images for object detection tasks. The dataset likely contains images annotated for parking signs, formatted according to the Common Objects in Context (COCO) standard. It is hosted on Kaggle, but details about its size, creator, and update date are unknown.
Object Detection Road Demage is a dataset hosted on Kaggle. The dataset likely contains images for training and evaluating computer vision models to identify road surface defects. The specific number of images, annotation format, and geographic origin are not detailed in the available metadata.
A dataset from Kaggle exploring the use of wireless router signals for object detection tasks. The dataset's specific size, collection method, and temporal coverage are not detailed in the provided metadata. Its content and structure require verification after download.
FaceForensic Gan-Base Dataset likely contains images related to facial forensic analysis. The dataset is published on Kaggle, but its specific content, size, and creation details are unknown. Metadata is minimal; actual data requires verification after download.
OCR PDF likely contains text and image data extracted from PDF documents using optical character recognition. The dataset is hosted on Kaggle, but its specific size, source, and creation date are unknown. Columns suggest it may include raw text, bounding box coordinates, or confidence scores for recognized characters.
MiniImagenet-5Shot-DINOv2 is a dataset hosted on Kaggle. The title suggests it is a benchmark dataset for few-shot learning tasks, likely derived from the MiniImagenet dataset and using the DINOv2 model for feature extraction or representation. The dataset's specific content, size, and structure are unknown from the provided metadata.
TBX11_YOLO is a dataset published on Kaggle. Its title suggests it is formatted for training YOLO (You Only Look Once) object detection models. The dataset's specific content, size, and origin are unknown from the provided metadata.
Kaggle hosts a dataset titled 'Cloud Removal STGAN'. The dataset likely contains satellite imagery processed for cloud removal tasks. Its specific size, origin, and update date are unknown.
A pre-trained Convolutional Neural Network model, version 24.4, hosted on Kaggle. The title suggests it is a CNN model, likely for image-based tasks. The specific architecture, training data, and performance metrics are not detailed in the provided metadata.
A dataset titled 'dhbk_hb_emb cnn gei 060 v24.4' published on Kaggle. The title suggests it is likely related to computer vision and convolutional neural networks (CNN). The dataset's specific content, size, and origin require verification after download.
my-yolo-code is a dataset uploaded to Kaggle, likely containing code, configuration files, and potentially assets for training or deploying YOLO (You Only Look Once) object detection models. The dataset's specific contents, size, and authorship are not detailed in the provided metadata. Its last update date and licensing information are also unknown.
ResNet50_KNN_GAT is a dataset published on Kaggle. Its title suggests it contains image embeddings generated by a ResNet50 model, likely intended for analysis with a Graph Attention Network (GAT) using a K-Nearest Neighbors (KNN) graph structure. The specific content, scale, and origin of the data are not detailed in the provided metadata.
A dataset titled 'resnet50_clique_sage' published on Kaggle. The title suggests a combination of a ResNet50 computer vision model with a graph-based method like GraphSAGE, likely containing image features or embeddings structured for graph learning. No further metadata on size, format, or origin is available.
ResNet50_Clique_GAT is a dataset published on Kaggle. The title suggests it contains features or graph structures derived from the ResNet50 convolutional neural network, likely for use with Graph Attention Networks (GAT). The dataset's specific content, size, and origin are not detailed in the available metadata.
A pre-trained ResNet50 model, likely fine-tuned or trained to 80% of a full training cycle, is available on Kaggle. The specific dataset used for training or fine-tuning is not detailed in the provided metadata. Further details on the model's architecture, performance, and intended application require verification after download.
A dataset of images likely derived from the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). The title suggests it contains 1,000 object categories and images resized to a resolution of 256 by 256 pixels. It is hosted on the Kaggle platform.
GAN_inference_245 is a dataset hosted on Kaggle. The title suggests it is related to Generative Adversarial Networks (GANs), likely for tasks involving image generation or evaluation. The dataset's specific content, size, and origin are not detailed in the provided metadata.
A pre-trained Convolutional Neural Network model, likely for image classification or feature extraction, published on Kaggle. The specific architecture and training data are not detailed in the minimal metadata. The version identifier 'v24.5' suggests it is part of an iterative development series.
Kaggle hosts this dataset titled 'dhbk_hb_emb cnn gei 060 v24.5'. The title suggests it is likely related to computer vision, possibly containing image data for convolutional neural network (CNN) training or evaluation. No further metadata on size, origin, or content is available.