Dataset Groups Activity Stream DAVIS 2017 Challenge The DAVIS 2017 challenge dataset is a benchmark for video object segmentation. It consists of 150 sequences with multiple objects and instance-level pixel-wise annotations. BibTex: @dataset{Jingchun_Cheng_and_Sifei_Liu_and_Yi-Hsuan_Tsai_and_Wei-Chih_Hung_and_Shalini_De_Mello_and_Jinwei_Gu_and_Jan_Kautz_and_Shengjin_Wang_and_Ming-Hsuan_Yang_2024, abstract = {The DAVIS 2017 challenge dataset is a benchmark for video object segmentation. It consists of 150 sequences with multiple objects and instance-level pixel-wise annotations.}, author = {Jingchun Cheng and Sifei Liu and Yi-Hsuan Tsai and Wei-Chih Hung and Shalini De Mello and Jinwei Gu and Jan Kautz and Shengjin Wang and Ming-Hsuan Yang}, doi = {10.57702/hseu3tqc}, institution = {No Organization}, keyword = {'instance-level segmentation', 'multiple objects', 'video object segmentation'}, month = {dec}, publisher = {TIB}, title = {DAVIS 2017 Challenge}, url = {https://service.tib.eu/ldmservice/dataset/davis-2017-challenge}, year = {2024} }
