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The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided. … Meer weergeven On 30 September 2012, a convolutional neural network (CNN) called AlexNet achieved a top-5 error of 15.3% in the ImageNet 2012 Challenge, more than 10.8 percentage points lower than that of the runner up. … Meer weergeven AI researcher Fei-Fei Li began working on the idea for ImageNet in 2006. At a time when most AI research focused on models and … Meer weergeven There are various subsets of the ImageNet dataset used in various context. One of the most highly used subset of ImageNet is the … Meer weergeven A study of the history of the multiple layers (taxonomy, object classes and labeling) of ImageNet and WordNet in 2024 described how Meer weergeven ImageNet crowdsources its annotation process. Image-level annotations indicate the presence or absence of an object class in an … Meer weergeven The ILSVRC aims to "follow in the footsteps" of the smaller-scale PASCAL VOC challenge, established in 2005, which … Meer weergeven • Computer vision • List of datasets for machine learning research • WordNet Meer weergeven WebAdjusting Color Tone (C7700 Series / C5700 Series Only) Adjusting Density; Correcting Uneven Density; Correcting Color Mismatch; Making Colors More Vivid; Adjusting Image … 18 公費
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