readme.txt
URL: https://data.bris.ac.uk/datasets/1v9op9lc6zi5g25kkwa5smb3vq/readme.txt
From the dataset abstract
This public and freely available dataset contains a PyTorch code section for the SCM and TCM deep learning network components, an annotation dataset for video object detection in the...
Source: PanAfrican2019 Video Annotations
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Additional Information
| Field | Value |
|---|---|
| Data last updated | April 14, 2020 |
| Metadata last updated | April 14, 2020 |
| Created | April 14, 2020 |
| Format | text/plain |
| License | Non-Commercial Government Licence for public sector information |
| created | over 4 years ago |
| format | TXT |
| id | dd286d1e-6e60-4810-994f-4c0cbec842a2 |
| mimetype | text/plain |
| on same domain | True |
| package id | 595723e2-b28d-4673-bbc8-01d06aa9dd9b |
| revision id | f41c5bc3-bf87-424c-9094-ab7b0db48929 |
| size | 5.8 KiB |
| state | active |
| type | file |