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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,020 datasets
An investigation recorded measurements from Pagothenia borchgrevinki fish captured in McMurdo Sound to study the distribution and effects of x-cell disease. Data includes condition factor, gut contents, internal organ status, tissue samples, and otoliths for age determination. The dataset was created by SCIOPS and last updated in December 1997.
Kaggle hosts a dataset titled 'yolo20260614', likely for training or benchmarking object detection models. The dataset is published on the Kaggle platform, but its specific contents, size, and creation details are not provided in the metadata. Further verification after download is required to confirm the data's scope, volume, and intended application.
FasterRCNN_resnet50_fpn_v2 is a dataset published on Kaggle. Its title suggests it likely contains weights or configuration files for a Faster R-CNN object detection model using a ResNet-50 backbone with a Feature Pyramid Network. Metadata is minimal; actual content requires verification after download.
A dataset titled 'my-yolo-dataset-2' is hosted on Kaggle. The dataset's content and scale are unspecified in the available metadata. Its author, organization, and last update date are unknown.
ResNet18-MSCeleb is a pre-trained deep learning model for computer vision tasks. The dataset likely contains the model weights trained on the MS-Celeb-1M face recognition dataset. It is hosted on the Kaggle platform.
VGG-MonoAudio is an evaluation benchmark for text-conditioned selective video-to-audio (V2A) generation containing between 1,000 and 10,000 data triplets. Developed by jnwnlee and associated with Arxiv paper 2512.02650, the collection features synchronized video, text descriptions, and isolated audio tracks. It was constructed by synthetically mixing single-source clips from the VGGSound and UnAV-100 datasets.
A cleaned image dataset of durian leaves, partitioned for machine learning tasks. The dataset is structured into training, validation, and testing subsets. It was uploaded to Kaggle by an unknown author.
Kaggle hosts a dataset titled 'the latest cyclegan 2'. The dataset likely contains image data for training and evaluating CycleGAN models, which are used for unpaired image-to-image translation tasks. The author, organization, and specific collection details are unknown.
Fala ai GAN is a dataset published on Kaggle, a platform for data science and machine learning. The title suggests a focus on Generative Adversarial Networks, a class of AI models. Specific details regarding content, size, and authorship are not provided in the available metadata.
A dataset titled 'train_models_CNN' published on Kaggle. The title suggests it contains image data intended for training Convolutional Neural Network models. No further metadata on size, source, or specific content is available.
A dataset titled 'CNN_LSM_model' published on Kaggle. The title suggests it contains a Convolutional Neural Network model, likely related to Land Surface Modeling or a similar domain. The dataset's specific content, size, and origin require verification after download.
A dataset titled 'ResNet_LSM_model' published on Kaggle. The title suggests it contains a pre-trained ResNet model, potentially for tasks like image classification or segmentation. The dataset's specific content, size, and origin are not detailed in the provided metadata.
A model likely containing weights for an EfficientNet architecture, published on Kaggle. The specific dataset content, such as the number of parameters or training images, is unknown. The author, organization, and last update date are not provided.
Toyota-SmartHome-Keypoints likely contains annotated human pose keypoints for activity analysis in a domestic environment. The dataset is hosted on Kaggle, but its specific scale, collection method, and authorship are not detailed in the provided metadata. Columns and sample data are unavailable, making direct assessment of content impossible prior to download.
UR_FALL_Keypoints is a dataset published on Kaggle. The title suggests it contains keypoint data, likely for human pose estimation or fall detection. The dataset's specific content, size, and origin require verification after download.
data yolov8(7011 photos) is a dataset published on Kaggle. The title suggests it contains 7011 images likely intended for training or benchmarking the YOLOv8 object detection model. The dataset's specific content, annotation details, and origin require verification after download.
FRCNN-FS-Weights is a dataset of model weights for a Faster R-CNN (FRCNN) architecture, likely intended for object detection tasks. The dataset is hosted on Kaggle, but details on the training data, model performance, and specific architecture are not provided. Its content and applicability require verification after download.
Unemployment data for Indonesia from the year 2025. The dataset is published on Kaggle, but the original source, collection method, and specific variables are not detailed in the provided metadata. The data likely contains figures on unemployment rates or counts distributed across different regions or demographic groups.
Social Security Administration data providing office and equipment information. The dataset was last updated on 2026-04-03 17:59:32.056461. The specific columns and data volume are unknown.
GigaBrain Challenge 2026 dataset supports a CVPR workshop competition focused on world modeling. The dataset includes training data, test data, baseline models, and evaluation scripts for registered participants. It was published by open-gigaai in March 2026.