Projeto de IC em autoML e transfer learning
Bases de dados originais utilizadas:
https://www.kaggle.com/datasets/die9origephit/children-vs-adults-images
https://www.kaggle.com/datasets/saurabhshahane/barkvn50
https://www.kaggle.com/datasets/paultimothymooney/blood-cells
https://www.kaggle.com/datasets/tolgadincer/labeled-chest-xray-images
https://www.kaggle.com/datasets/itsahmad/indoor-scenes-cvpr-2019?ref=hackernoon.com
https://www.kaggle.com/datasets/die9origephit/nike-adidas-and-converse-imaged
https://www.kaggle.com/datasets/puneet6060/intel-image-classification?ref=hackernoon.com
https://www.kaggle.com/datasets/muratkokludataset/pistachio-image-dataset
https://www.kaggle.com/datasets/lantian773030/pokemonclassification
https://www.kaggle.com/datasets/projectshs/pizza-classification-data
1 maintainer
Release files for modelChooserTransfer 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| modelChooserTransfer-0.0.1.tar.gz | 3.7 kB | Details |
Release files / modelChooserTransfer-0.0.1.tar.gz
| Download URL | modelChooserTransfer-0.0.1.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
b2a6edd53766a3a9d5bf2c05fa0921bc95614d2397522f956f6de6d2685a3c4a
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twine/4.0.1 CPython/3.10.8
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