pascalvoc
pascal-voc-2012pascal-voc
Pascal VOC
Dataset Summary
The Pascal Visual Object Classes (VOC) dataset is a widely used benchmark in the field of computer vision. It is designed for object detection, image classification, semantic segmentation, and action classification tasks. The dataset provides a comprehensive set of annotated images covering 20 object classes, allowing researchers to evaluate and compare the performance of various algorithms.
Note: This dataset repository contains all editions of… See the full description on the dataset page: https://huggingface.co/datasets/merve/pascal-voc.pascal_vocPASCAL_VOCPascal_VOCpascal-voc-2012-segmentation-lance
Pascal VOC 2012 Segmentation (Lance Format)
A Lance-formatted version of the Pascal VOC 2012 semantic segmentation split, sourced from nateraw/pascal-voc-2012. Each row pairs an inline JPEG image with the per-pixel PNG segmentation mask and a cosine-normalized OpenCLIP ViT-B-32 image embedding, so a single columnar table carries both annotation modalities and the features needed to retrieve, curate, and train against them — all available directly from the Hub at… See the full description on the dataset page: https://huggingface.co/datasets/lance-format/pascal-voc-2012-segmentation-lance.pascal-voc-2012
Dataset Card for "pascal-voc-2012"
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