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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,390 datasets
PDT_dataset_yolov8 is a dataset hosted on Kaggle, likely containing images for training and evaluating object detection models. The dataset's specific content, size, and origin are not detailed in the available metadata. Its platform tags indicate a focus on computer vision tasks using the YOLOv8 architecture.
D4_PINN-and-resnet is a dataset hosted on Kaggle. The title and platform tags suggest it contains data related to Physics-Informed Neural Networks (PINNs) and ResNet architectures. Metadata is minimal; actual content, size, and authorship require verification after download.
dhbk_hb_emb cnn gei 255 v24.8 is a dataset published on Kaggle. The title and platform tags suggest it contains image embeddings, likely generated by a CNN (Convolutional Neural Network) model. The specific data content, scale, and origin are not detailed in the provided metadata.
HGI-Detction is a dataset for object detection tasks, formatted for the YOLO (You Only Look Once) model architecture. The dataset is hosted on Kaggle, a platform for data science and machine learning competitions. Its specific content, size, and origin require verification after download.
A dataset published on Kaggle, likely containing images for training or evaluating YOLOv11 object detection models. The dataset's specific content, size, and creation details are not provided in the available metadata. Further verification is required to confirm the exact number of images, annotation types, and source.
A dataset published on Kaggle, likely containing images and annotations for training object detection models. The dataset's name suggests it is associated with the YOLO (You Only Look Once) family of computer vision models. Specific details on volume, source, and creation date are unavailable from the provided metadata.
Development plans of Brachbach detail the urgent provision of needed residential building plots. The plan "Weigands Häslich" is published by the Bundesamt für Kartographie und Geodäsie and was last updated on January 23, 2026. It is available as a Web Map Service (WMS) layer.
A set of 387 car logo images with various size dimensions and an accompanying JSON metadata file. Developed by filippofilip95, the dataset was last updated in March 2026 to facilitate vehicle brand identification.
Kaggle hosts a model checkpoint file named 'Ours_Checkpoint_TinyImagenet_100_head_class'. The dataset likely contains a pre-trained model for image classification tasks, specifically related to the Tiny ImageNet dataset. Its specific architecture, training parameters, and performance metrics are not detailed in the available metadata.
Synth Receipts Ocr provides a dataset of synthetic receipt images paired with text for optical character recognition tasks. The dataset, created by sushanthr, was last updated in March 2026. Platform tags indicate it contains at least 100,000 records and is optimized for processing with libraries like Polars and Dask.
A large-scale dataset for open-world object detection contains 8,001 images annotated with 344,079 bounding boxes across 1,106 categories. It was created by author shubh303 and last updated on January 5, 2026. The dataset is designed specifically for training and evaluating text-conditioned, open-vocabulary detection models.
YOLOOOv8 is a dataset published on Kaggle. The title suggests it is related to the YOLOv8 object detection model, likely containing images and annotations. Specific details on size, format, and creation date are unavailable from the provided metadata.
A dataset likely related to the YOLO (You Only Look Once) object detection model architecture. It is published on the Kaggle platform. The specific content, scale, and authorship are unknown from the provided metadata.
A dataset likely containing images of birds for training and evaluating YOLO (You Only Look Once) object detection models. It is published on the Kaggle platform, but details on its size, creation date, and authorship are unknown. The dataset's primary purpose appears to be computer vision tasks related to avian species.
Kaggle hosts an image dataset designed for yoga pose estimation and user training. The collection contains labeled images of various yoga asanas. Details on the creator, volume, and creation date are not provided in the available metadata.
Bounding box annotations are provided for five tropical weed species, formatted for YOLO object detection models. The dataset is sourced from Kaggle and focuses on invasive plant species.
Aggregating replication files for an analysis of democracy, trade networks, and international condemnation of Russia following the 2022 invasion of Ukraine. It supports the replication of all analyses, tables, and figures from the associated academic article and its appendix.
A set of pre-trained model weights for a neural network architecture likely based on EfficientNetV2. The weights are hosted on Kaggle and appear to be the result of a fusion or ensemble technique. The specific dataset used for training, the number of parameters, and the author are unknown.
Kaggle hosts a dataset titled 'yolov8m-base-weights'. The dataset likely contains the pre-trained weights for the YOLOv8m (You Only Look Once version 8 medium) model, a popular architecture for real-time object detection. The author, organization, and specific details about the data's creation and update history are not provided in the available metadata.
MEST Datasets organizados is a collection of datasets published on Kaggle. The platform tags suggest it contains tabular data. The specific contents, scale, and origin of the collection are not detailed in the available metadata.