Toolkit for Description Detection Dataset ($D^3$): A detection dataset with class names characterized by intricate and flexible expressions, for the Described Object Detection (DOD) task.
Metadata
Release files for ddd-dataset 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ddd-dataset-0.1.2.tar.gz | 19.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ddd_dataset-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 37.2 kB
Release files / ddd-dataset-0.1.2.tar.gz
| Download URL | ddd-dataset-0.1.2.tar.gz |
|---|---|
| Size | 19.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
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Release files / ddd_dataset-0.1.2-py3-none-any.whl
| Download URL | ddd_dataset-0.1.2-py3-none-any.whl |
|---|---|
| Size | 17.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|