kcai-dataset
Splitting strategies package for image datasets using the Strategy pattern.
Installation
With uv
# Create virtual environment
uv venv .venv
# Activate virtual environment
source .venv/bin/activate # On macOS/Linux
# or on Windows: .venv\Scripts\activate
# Install dependencies and package
uv sync
Or with pip
pip install -e .
Quick Usage
Open the notebook examples/test.ipynb and follow the instructions.
1 maintainer
Metadata
1 maintainer
Release files for kcai-dataset 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kcai_dataset-0.0.3.tar.gz | 9.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kcai_dataset-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.2 kB
Release files / kcai_dataset-0.0.3.tar.gz
| Download URL | kcai_dataset-0.0.3.tar.gz |
|---|---|
| Size | 9.2 kB |
| Tags | Source |
|
SHA-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 |
uv/0.9.5
|
Release files / kcai_dataset-0.0.3-py3-none-any.whl
| Download URL | kcai_dataset-0.0.3-py3-none-any.whl |
|---|---|
| Size | 9.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.9.5
|
