Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.
Release files for autodistill-grounded-sam-2 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| autodistill_grounded_sam_2-0.1.0.tar.gz | 8.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autodistill_grounded_sam_2-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.9 kB
Release files / autodistill_grounded_sam_2-0.1.0.tar.gz
| Download URL | autodistill_grounded_sam_2-0.1.0.tar.gz |
|---|---|
| Size | 8.2 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/5.1.1 CPython/3.12.4
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Release files / autodistill_grounded_sam_2-0.1.0-py3-none-any.whl
| Download URL | autodistill_grounded_sam_2-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.8 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/5.1.1 CPython/3.12.4
|
