Dataset Open Access
A video dataset for wooden box assembly
Jiayun Zhang;
Petr Byvshev;
Yu Xiao
This is a dataset of videos for wooden box assembly. The main strength of this dataset is the design of standard and uniform workflow and the use of multiple cameras capturing videos from different angles. A total of 62 videos of 17 subjects were collected. The duration of the videos is 13.0 hours. The whole workflow is designed into nine steps. The dataset contains the videos of the assembly process and the temporal annotation data for the nine steps in each video. Our dataset could be used to facilitate the studies in different applications such as object recognition, human action classification, intelligent automation etc.
Funded by
Business Finland (1660/31/2018)
European Union's Horizon 2020 Research and Innovation Programme (grant number: 777222
Files
(13.8 GB)
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01_glove_cam1_720.mp4
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01_glove_cam2_720.mp4
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01_noglove.csv
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01_noglove_cam1_720.mp4
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02_glove_cam1_720.mp4
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02_glove_cam2_720.mp4
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02_noglove.csv
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03_glove_cam1_720.mp4
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03_glove_cam2_720.mp4
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03_noglove.csv
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03_noglove_cam1_720.mp4
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03_noglove_cam2_720.mp4
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04_glove_cam1_720.mp4
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04_glove_cam2_720.mp4
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04_noglove.csv
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04_noglove_cam1_720.mp4
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04_noglove_cam2_720.mp4
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05_glove_cam1_720.mp4
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05_glove_cam2_720.mp4
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06_glove_cam1_720.mp4
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06_glove_cam2_720.mp4
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06_noglove.csv
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06_noglove_cam1_720.mp4
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06_noglove_cam2_720.mp4
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07_noglove_cam1_720.mp4
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07_noglove_cam2_720.mp4
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08_glove_cam1_720.mp4
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08_glove_cam2_720.mp4
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08_noglove.csv
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08_noglove_cam1_720.mp4
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08_noglove_cam2_720.mp4
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09_glove_cam1_720.mp4
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09_glove_cam2_720.mp4
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09_noglove.csv
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09_noglove_cam1_720.mp4
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09_noglove_cam2_720.mp4
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10_glove_cam2_720.mp4
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10_noglove.csv
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10_noglove_cam1_720.mp4
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10_noglove_cam2_720.mp4
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11_glove_cam2_720.mp4
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11_noglove_cam1_720.mp4
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11_noglove_cam2_720.mp4
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12_glove.csv
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12_glove_cam1_720.mp4
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12_glove_cam2_720.mp4
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12_noglove.csv
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12_noglove_cam1_720.mp4
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12_noglove_cam2_720.mp4
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13_glove_cam1_720.mp4
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13_glove_cam2_720.mp4
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13_noglove.csv
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13_noglove_cam1_720.mp4
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13_noglove_cam2_720.mp4
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14_glove.csv
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14_glove_cam1_720.mp4
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14_glove_cam2_720.mp4
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14_noglove.csv
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14_noglove_cam1_720.mp4
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14_noglove_cam2_720.mp4
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15_glove.csv
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15_glove_cam1_720.mp4
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15_glove_cam2_720.mp4
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15_noglove.csv
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15_noglove_cam1_720.mp4
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15_noglove_cam2_720.mp4
md5:d88d42f60a86a8c6256ed7af08839b96 |
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16_glove.csv
md5:ae86d85c8fb93a79ecee57e5dbdd827a |
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16_glove_cam1_720.mp4
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16_glove_cam2_720.mp4
md5:a8651b3e3f536f8f6ca28b0985e6abbe |
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16_noglove.csv
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16_noglove_cam1_720.mp4
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16_noglove_cam2_720.mp4
md5:ffa0719fc0ed6e9ec2c3ddba11dd3be8 |
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17_glove.csv
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17_glove_cam1_720.mp4
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17_glove_cam2_720.mp4
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17_noglove.csv
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17_noglove_cam1_720.mp4
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17_noglove_cam2_720.mp4
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README
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steps_ids.csv
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use_example.ipynb
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139
301
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 139 | 108 |
| Downloads | 301 | 298 |
| Data volume | 41.3 GB | 41.3 GB |
| Unique views | 108 | 84 |
| Unique downloads | 52 | 51 |
Indexed in
- Publication date:
- September 21, 2020
- DOI:
-
- Keyword(s):
- assembly, video, action recognition
- Meeting:
- SenSys/BuildSys 2020 Workshop, Yokohama, Japan, November 16, 2020
- License (for files):
- Creative Commons Attribution 4.0 International