The Kremlin‘s failure to use the operational pause to reorganize the Russian military command structure in Ukraine and its decision to instead retain an ad-hoc command structure is very odd. Lapin, in contrast, has been and remains commander of the Central Military District. Shoigu has not even named Surovikin as the head of Russia’s Southern Military District (SMD) despite the likely ousting of SMD Commander General of the Army Alexander Dvornikov and despite Surovikin’s experience commanding the Southern Grouping in Ukraine. Surovikin should in principle be in overall command because he outranks Lapin. Shoigu indicated that Surovikin and Lapin will both continue to command forces on the Eastern Axis even though a force concentration and effort of this size should only require a single, very senior overall commander. Russian forces conducted fewer ground assaults on all axes on July 16 than on July 15, but maintained increased artillery and missile strikes on July 16. Russian Defense Minister Sergey Shoigu ordered Southern Group Commander General of the Army Sergey Surovikin and Central Group Commander Colonel General Alexander Lapin to increase offensive operations on all axes on July 16, but the tempo of the resuming Russian offensive will likely fluctuate or stutter over the coming days. The Russian Defense Ministry announced that the Russian operational pause has concluded on July 16, confirming ISW’s July 15 assessment. This map is updated daily alongside the static maps present in this report. KaganĬlick here to see ISW's interactive map of the Russian invasion of Ukraine. Variety that algorithm results on the dataset are representative of Introduces a methodology for ensuring that your dataset has sufficient (by Zendel, Murschitz, Humenberger, and Herzner) How Good Is My Test Data? Introducing Safety Analysis for Computer Vision Have found useful for computer vision research and algorithm evaluation.Karolina Hird, Grace Mappes, George Barros, and Frederick W. The results that one could expect in a real setting. Hazards (imaging situations) that may cause algorithms to have problems. Ideally, test datasets should have examples of the relevant hazards.General RGBD, 3D Point Cloud, and depth datasets.Hand, Hand Grasp, Hand Action and Gesture Databases.Image, Video and Shape Database Retrieval.People (static and dynamic), human body pose.People Detection and Tracking Databases (See also Surveillance).Scenes or Places, Scene Segmentation or Classification.Surveillance and Tracking (See also People).Academic Torrents - computer vision - a set of 30+ large datasets available in BitTorrent form.
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