Analyze datasets of human faces for demographic diversity metrics
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
DiversityLens
A command-line auditing tool for inspecting demographic patterns in face image and video datasets before they are used in AI training, evaluation, or social robotics research.
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file diversitylens-0.2.0.tar.gz.
File metadata
- Download URL: diversitylens-0.2.0.tar.gz
- Upload date:
- Size: 10.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a595fe17a02caa0ae130e4a6322ad2ae9ba37163ef7cb5dbc87eed455f4a50b3
|
|
| MD5 |
466abdfeb14386d85e11a42cb0442150
|
|
| BLAKE2b-256 |
8594447f3a4676041d4894b7c721782da3c84415dc0fd441f410b20251921a61
|
Provenance
The following attestation bundles were made for diversitylens-0.2.0.tar.gz:
Publisher:
release.yml on adriandavidauer/DiversityLens
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
diversitylens-0.2.0.tar.gz -
Subject digest:
a595fe17a02caa0ae130e4a6322ad2ae9ba37163ef7cb5dbc87eed455f4a50b3 - Sigstore transparency entry: 1392718257
- Sigstore integration time:
-
Permalink:
adriandavidauer/DiversityLens@4b25234a7a1e9d18d86b0190383ce4ce2da49e02 -
Branch / Tag:
refs/tags/v0.0.0 - Owner: https://github.com/adriandavidauer
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@4b25234a7a1e9d18d86b0190383ce4ce2da49e02 -
Trigger Event:
push
-
Statement type:
File details
Details for the file diversitylens-0.2.0-py3-none-any.whl.
File metadata
- Download URL: diversitylens-0.2.0-py3-none-any.whl
- Upload date:
- Size: 10.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
57a09799d88721c0bf4a829fdc5350990aeeeebbfac26d10f73a4ddccdccf3b4
|
|
| MD5 |
9172f03661be5edf5a06720c2cdf5366
|
|
| BLAKE2b-256 |
bf40e5daf0def3caa8d7d500c56deafa0adc5062ccc0bb572800009376653d08
|
Provenance
The following attestation bundles were made for diversitylens-0.2.0-py3-none-any.whl:
Publisher:
release.yml on adriandavidauer/DiversityLens
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
diversitylens-0.2.0-py3-none-any.whl -
Subject digest:
57a09799d88721c0bf4a829fdc5350990aeeeebbfac26d10f73a4ddccdccf3b4 - Sigstore transparency entry: 1392718263
- Sigstore integration time:
-
Permalink:
adriandavidauer/DiversityLens@4b25234a7a1e9d18d86b0190383ce4ce2da49e02 -
Branch / Tag:
refs/tags/v0.0.0 - Owner: https://github.com/adriandavidauer
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@4b25234a7a1e9d18d86b0190383ce4ce2da49e02 -
Trigger Event:
push
-
Statement type:
