Loading...
Loading...
Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,507 datasets
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.
VisDrone2019-DET is a dataset for object detection tasks, likely derived from drone-captured imagery. The dataset is formatted for use with the YOLOv11 object detection model. It was published on Kaggle.
OCR Plate Detection is a dataset hosted on Kaggle. The dataset likely contains images for optical character recognition tasks focused on detecting plates. Metadata is minimal; actual content requires verification after download.
A dataset likely containing musculoskeletal radiographs (X-rays) for use in a convolutional neural network (CNN) pipeline. It was published on Kaggle, but the specific collection date, author, and data volume are not provided. The title suggests a focus on automating the analysis of bone and joint images.
Fruit and Vegetable Object Detection is a dataset hosted on Kaggle. The dataset likely contains images for training and evaluating object detection models. Its specific contents, scale, and origin require verification after download.
A dataset published on Kaggle, likely containing images for training YOLO (You Only Look Once) object detection models. The specific content, scale, and origin are not detailed in the provided metadata. Users must download the dataset to verify its exact composition and suitability for their tasks.
Mask R-CNN ResNet50 is a pre-trained computer vision model for instance segmentation. It is hosted on Kaggle, a platform for data science and machine learning projects. The model's specific training data, version, and performance metrics require verification after download.
Vietnamese Image Captioning Lab4 is a dataset published on Kaggle. The dataset likely contains pairs of images and corresponding descriptive captions in the Vietnamese language. Metadata is minimal; actual content, scale, and authorship require verification after download.
A Kaggle-hosted dataset for object detection tasks. The dataset likely contains images of domestic pets and wild animals, but specific details on volume, annotation method, and creation date are unavailable. The dataset's content and structure require verification after download.
A dataset hosted on Kaggle likely containing images of Brahmi script characters or inscriptions. The dataset's specific size, creation date, and authorship are unknown. It appears intended for optical character recognition tasks related to this ancient writing system.
A pre-trained convolutional neural network model named 'dhbk_hb_model' with version identifier 24.4. The model is hosted on Kaggle, a platform for data science and machine learning projects. Its specific architecture, training data, and intended task are not detailed in the available metadata.
A dataset of image embeddings likely generated by a Convolutional Neural Network (CNN), as suggested by the title. The dataset is hosted on Kaggle, but its specific source, size, and creation date are not provided in the metadata. The content and scale require verification after download.
A dataset likely containing images or video frames annotated for object detection and distance estimation tasks. The dataset is hosted on Kaggle, but details on its size, source, and creation date are not provided in the metadata. Columns and specific content are unknown and require verification after download.
A dataset for object detection tasks focused on fruits and vegetables, published on Kaggle. The dataset likely contains images with bounding box annotations for training machine learning models. Specific details on volume, annotation quality, and origin are not provided in the metadata.
SWIFT-YOLO test datasets are likely designed for benchmarking the performance of the SWIFT-YOLO object detection model. The datasets were published on Kaggle, but details on the creator, size, and specific content are not provided. Metadata is minimal; actual content requires verification after download.
A dataset likely containing images and annotations for training or benchmarking the YOLOv4 object detection model. The dataset is hosted on Kaggle, a platform for data science competitions and resources. Specific details on the dataset's size, origin, and creation date are not provided in the available metadata.
Enehana CS Club YOLO Dataset is a computer vision dataset published on Kaggle. The dataset likely contains images for object detection tasks, as suggested by the title referencing the YOLO (You Only Look Once) model. Its specific content, scale, and creation details require verification after download.
A pre-trained Convolutional Neural Network model, version 24.5, hosted on Kaggle. The title suggests it is likely a model for image analysis, possibly related to a specific project or benchmark. Its specific architecture, training data, and performance metrics are not detailed in the provided metadata.
A dataset of image embeddings likely generated by a Convolutional Neural Network (CNN). The title suggests a versioned release (v24.5) and a codename structure, but specific content, size, and origin are not provided in the metadata. It is hosted on the Kaggle platform.
YOLO_MIX is a dataset published on Kaggle. The title suggests it is likely intended for training or benchmarking object detection models using the YOLO architecture. No further details on size, source, or creation date are available from the provided metadata.