The image_label package provides a custom Streamlit component for image annotation. It allows users to manually annotate images with bounding boxes and labels, making it a great tool for data labeling tasks, especially in machine learning projects. for more info go to https://github.com/SksOp/image_label
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Release files for image-label 2.4.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| image_label-2.4.3.tar.gz | 606.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| image_label-2.4.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.2 MB
Release files / image_label-2.4.3.tar.gz
| Download URL | image_label-2.4.3.tar.gz |
|---|---|
| Size | 606.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.10.9
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Release files / image_label-2.4.3-py3-none-any.whl
| Download URL | image_label-2.4.3-py3-none-any.whl |
|---|---|
| Size | 614.1 kB |
| Tags | Python 3 |
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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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.9
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