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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,437 datasets
MSDD-grayscale-640-yolo11 is a dataset published on Kaggle. The title suggests it contains grayscale images formatted for use with the YOLO object detection model version 11. The dataset's specific content, scale, and origin are unknown.
Tiny-Imagenet-10 likely contains a subset of images from the ImageNet dataset, curated for computer vision tasks. The dataset is hosted on Kaggle, but its specific size, creation date, and author are unknown.
YOLO12s-v2 PCB is a dataset hosted on Kaggle. The title suggests it contains images of printed circuit boards, likely intended for training object detection models. No further metadata is available.
Training runs for a YOLOv8s model applied to printed circuit board (PCB) detection. The dataset likely contains images and associated training logs or model outputs from runs conducted on Kaggle. Specific details on the number of images, annotations, or training epochs are unavailable.
Celeb_Gan-based_01_dataset is a collection of synthetic images likely generated using Generative Adversarial Networks (GANs). The dataset is hosted on Kaggle, but its creator, size, and specific content are unknown. Its title suggests it contains images of celebrities created by generative AI techniques.
A pre-trained convolutional neural network model named 'dhbk_hb_model CNN GEI 255 v24.6' is hosted on Kaggle. The model likely contains weights and architecture for image processing tasks. Its specific purpose, training data, and performance metrics are not detailed in the provided metadata.
A computer vision dataset published on Kaggle. The title suggests it may be related to convolutional neural networks (CNN) and possibly image classification or feature extraction. Its specific content, scale, and origin are unknown from the provided metadata.
Kaggle hosts a checkpoint dataset for a model trained on EfficientNetB4 architecture. The dataset likely contains model weights or outputs from a training process. Its specific content and scale require verification after download.
m30t-yolo is a dataset published on Kaggle. The title suggests it is intended for training or benchmarking YOLO-based object detection models. The dataset's specific content, size, and origin are not detailed in the available metadata.
BirdCLEF EfficientNet B1 is a pre-trained machine learning model likely designed for bird audio classification tasks. It is hosted on Kaggle, a platform for data science competitions and datasets. The specific architecture, EfficientNet B1, suggests it is optimized for efficient computation.
A collection of images related to antimicrobial resistance, hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Further verification after download is required to confirm the exact nature and scope of the imagery.
EfficientNetB4 model weights are likely stored as a checkpoint file for a computer vision task. The dataset is hosted on Kaggle and is associated with a pre-trained model, suggesting it is intended for transfer learning. Specific details about the training data, performance, or intended application are not provided in the available metadata.
A pre-trained Convolutional Neural Network model, likely for image analysis, is hosted on Kaggle. The model's codename suggests it may be version 24.9, potentially related to a specific architecture or task. Its exact purpose, training data, and performance metrics require verification after download.
Shenggan / BCCD is a dataset for computer vision tasks, published on Kaggle. The title suggests it likely contains images related to blood cell detection. Metadata is minimal; the specific content, scale, and collection details require verification after download.
A dataset of image embeddings likely generated by a Convolutional Neural Network (CNN) for computer vision tasks, published on Kaggle. The title suggests the use of Gait Energy Image (GEI) features, which are commonly used for human gait analysis. Specific details on the number of samples, source, and creation date are not provided in the available metadata.
ResNet_from_github is a dataset hosted on Kaggle. The title suggests it contains data related to the ResNet (Residual Network) architecture, a foundational model for computer vision tasks. The dataset's specific contents, scale, and origin are not detailed in the provided metadata.
Pre-trained weights for a deep convolutional neural network (DCNN) model, likely for computer vision tasks. The dataset is hosted on Kaggle, but the specific architecture, training data, and performance metrics are not detailed in the provided metadata. The author, organization, and last update date are unknown.
A dataset for keypoint extraction, likely related to symptom analysis in a medical or clinical context. It is hosted on Kaggle, but the specific number of images, annotation details, and creation date are not provided in the available metadata. The dataset's content and scale require verification after download.
A dataset published on Kaggle, likely related to quantum computing and neural networks. The title suggests it contains 1,000 data points generated with a fixed random seed for a cold-start scenario. Specific details on columns, source, and creation date are unavailable.
QCNN-1K appears to be a dataset related to quantum machine learning, specifically quantum convolutional neural networks. The title suggests it contains 1,000 data points generated with a fixed random seed for reproducibility in cold-start model evaluation. It was published on Kaggle, but the author and specific creation date are unknown.