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arXiv:1405.0312cs.CV

Microsoft COCO: Common Objects in Context

Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, Piotr Dollár

Abstract

We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question of scene understanding. This is achieved by gathering images of complex everyday scenes containing common objects in their natural context. Objects are labeled using per-instance segmentations to aid in precise object localization. Our dataset contains photos of 91 objects types that would be easily recognizable by a 4 year old. With a total of 2.5 million labeled instances in 328k images, the creation of our dataset drew upon extensive crowd worker involvement via novel user interfaces for category detection, instance spotting and instance segmentation. We present a detailed statistical analysis of the dataset in comparison to PASCAL, ImageNet, and SUN. Finally, we provide baseline performance analysis for bounding box and segmentation detection results using a Deformable Parts Model.

arXiv comments
1) updated annotation pipeline description and figures; 2) added new section describing datasets splits; 3) updated author list
Journal reference
DOI
Subjects
cs.CVComputer Vision and Pattern Recognition

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  1. YOLO: Real-Time Object Detection 1 comment

    • Good question, we use the same method as coco, described in https://arxiv.org/pdf/1405.0312.pdf and implemented in the coco evaluation scripts here: https://github.com/cocodataset/cocoapi/blob/master/PythonAPI... -- basically the best matching proposal, ground truth pair

      natvertView on HNParent context

  2. COCO – Common Objects in Context 1 comment

    • From "Microsoft COCO: Common Objects in Context" (2014) https://arxiv.org/abs/1405.0312 "We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question of scene…

      lioetersView on HNParent context

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