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# Semantic Segmentation Benchmarks on Public Datasets
Package to benchmark and evaluate a range of neural network architectures for semantic segmentation tasks. For installation and usage instructions, check-out our documentation.
Release files for deepdraw 1.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| deepdraw-1.5.0.tar.gz | 24.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| deepdraw-1.5.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 35.5 MB
Release files / deepdraw-1.5.0.tar.gz
| Download URL | deepdraw-1.5.0.tar.gz |
|---|---|
| Size | 24.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
96e8bb948b1ddf5048dbf013f76117f50c7d98dfc77ddac4898f3d09b243b028
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.0
|
Release files / deepdraw-1.5.0-py2.py3-none-any.whl
| Download URL | deepdraw-1.5.0-py2.py3-none-any.whl |
|---|---|
| Size | 11.1 MB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
df8dbcbddd85dc5f149e81bdcd50a0d82a074ad56815c5b29c1b4bc3771039d0
|
|
BLAKE2b-256 checksum How to use checksums |
f2c6355e25530347cf7259d63c62e38dba2713428d977856d022f8c9272bc813
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.0
|