ImageNet Large Scale Visual Recognition Challenge (ILSVRC)是ImageNet的图像识别竞赛。
The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) evaluates algorithms for object detection and image classification at large scale. One high level motivation is to allow researchers to compare progress in detection across a wider variety of objects -- taking advantage of the quite expensive labeling effort. Another motivation is to measure the progress of computer vision for large scale image indexing for retrieval and annotation.
ILSVRC主要评价算法在大尺度上对物体检测和图像分类的效果。竞赛的一个主要目的是通过利用大量的人工标记训练数据，刺激研究者们来比较他们的算法在多种多样的物体检测上的效果。另一个主要目的是检验计算机视觉技术在大尺度图像的检索和标注方面的进步。
个人理解，就是先设计模型，然后在标注好的训练集上训练模型参数，然后拿到测试集上去测试，看谁的分类错误率的低的比赛。
很多知名的网络结构都在该竞赛中崭露头角。比如AlexNet，VGG，GoogleNet，Deep Residual Network等等。
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