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About ShanghaiTech Campus dataset (Anomaly Detection) #10
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semantic_annotation.zip |
@zachluo Thank you very much,do you have similar annotation files for UCSD Ped1 or Ped2? |
@Markovcom I don't have them for Ped1 and Ped2 since we only evaluate our method in IJCAI on ShanghaiTech and Avenue. |
@zachluo Thank you all the same. |
@zachluo Can you explain the format of the annotation file? |
@Markovcom '0001' is the video id and in this video there are two anomalies. One is chasing at Frame #[1, 169] U [172, 177] and another one is jumping at Frame #[385, 385] U [387, 500]. |
@zachluo Thank you very much. |
@zachluo 你好请问shanghaitech数据集测试集的时长是多长? |
Hello, there are 130 anomaly events in this dataset introduced by your paper. What are these anomaly types specifically?
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