DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects

03/27/2018
by   Lukas Tuggener, et al.
0

We present the DeepScores dataset with the goal of advancing the state-of-the-art in small objects recognition, and by placing the question of object recognition in the context of scene understanding. DeepScores contains high quality images of musical scores, partitioned into 300,000 sheets of written music that contain symbols of different shapes and sizes. With close to a hundred millions of small objects, this makes our dataset not only unique, but also the largest public dataset. DeepScores comes with ground truth for object classification, detection and semantic segmentation. DeepScores thus poses a relevant challenge for computer vision in general, beyond the scope of optical music recognition (OMR) research. We present a detailed statistical analysis of the dataset, comparing it with other computer vision datasets like Caltech101/256, PASCAL VOC, SUN, SVHN, ImageNet, MS-COCO, smaller computer vision datasets, as well as with other OMR datasets. Finally, we provide baseline performances for object classification and give pointers to future research based on this dataset.

READ FULL TEXT
research
05/01/2014

Microsoft COCO: Common Objects in Context

We present a new dataset with the goal of advancing the state-of-the-art...
research
10/07/2016

ResearchDoom and CocoDoom: Learning Computer Vision with Games

In this short note we introduce ResearchDoom, an implementation of the D...
research
05/26/2018

Deep Watershed Detector for Music Object Recognition

Optical Music Recognition (OMR) is an important and challenging area wit...
research
02/17/2022

Visual Ground Truth Construction as Faceted Classification

Recent work in Machine Learning and Computer Vision has provided evidenc...
research
05/08/2023

Distribution-aware Fairness Test Generation

This work addresses how to validate group fairness in image recognition ...
research
11/23/2016

'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems

An examination of object recognition challenge leaderboards (ILSVRC, PAS...
research
09/05/2018

BOLD5000: A public fMRI dataset of 5000 images

Vision science, particularly machine vision, has been revolutionized by ...

Please sign up or login with your details

Forgot password? Click here to reset