New machine learning datasets in March and April
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New machine learning datasets on datasetlist.com in March and April
Over a dozen new datasets have been added to the list:
Mapillary Street-Level Sequences: the largest, most diverse dataset for place recognition.
Several COVID-19 image datasets focusing on X-ray and CT scan imagery.
Open Images V6: expands the annotation of the Open Images dataset with a large set of new visual relationships, human action annotations, and image-level labels.
Ford Autonomous Vehicle Dataset: A challenging multi-agent seasonal dataset collected by a fleet of Ford autonomous vehicles.
PANDA: the first gigapixel-level human-centric video dataset.
Holopix50k: A novel in-the-wild stereo image dataset, comprising 49,368 image pairs.
JHU-CROWD++: A large-scale unconstrained crowd counting dataset.
And several more.
Annotation tools
The list of annotation tools has been updated with newly released tools and updated ranking.
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