61 to 70 of 78 Results
Python Source Code - 2.7 KB -
MD5: 82d72992a286cac13fe20b01a84efa33
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Sep 18, 2020
Chen, Peng; Swarup, Pranjal; Matkowski, Wojciech Michal; Kong, Adams Wai Kin; Han, Su; Zhang, Zhihe; Rong, Hou, 2020, "Panda images dataset", https://doi.org/10.21979/N9/8CYVGF, DR-NTU (Data), V4
The data used in the study titled "A Study on Giant Panda Recognition Based on Images of a Large Proportion of Captive Pandas". |
Sep 18, 2020 -
Panda images dataset
7Z Archive - 2.3 MB -
MD5: 8c244d6ee19446c32cd70389a58445bd
Annotations of the raw images added separately. |
Sep 18, 2020 -
Panda images dataset
Unknown - 1000.0 MB -
MD5: 5434b478e3ebe501cc03fe40c0e863f8
The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip. |
Sep 18, 2020 -
Panda images dataset
Unknown - 1000.0 MB -
MD5: 230dfd13cfd47b40a08144568e3fe193
The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip. |
Sep 18, 2020 -
Panda images dataset
Unknown - 1000.0 MB -
MD5: 3af58555a5f92dae144f33ee811007d5
The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip. |
Sep 18, 2020 -
Panda images dataset
Unknown - 1000.0 MB -
MD5: e13c5e8011593eb65cc4032464e804f9
The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip. |
Sep 18, 2020 -
Panda images dataset
Unknown - 1000.0 MB -
MD5: 9d81a94d228e4cc390eb7150536b2bfd
The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip. |
Sep 18, 2020 -
Panda images dataset
Unknown - 1000.0 MB -
MD5: f2eff4bc0a5413274d018e4e6b0fc72c
The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip. |
Sep 18, 2020 -
Panda images dataset
Unknown - 1000.0 MB -
MD5: 4da7e04d15839494de36135dd55c4879
The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip. |
