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Ikomia HUB

Ready to use and editable Computer Vision algorithms from your favorite frameworks.

142 items found

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Train timm image classification models

Classification
1.2.2
Apache-2.0
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Infer timm image classification models

Classification
1.2.1
Apache-2.0
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Load classification dataset

Classification
1.0.3
MIT
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Run vision-language model series based on Qwen2.5

1.0.0
Apache-2.0
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OCR-free model for document understanding

OCR
1.0.3
MIT
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Compilation of well-known thresholding methods from scikit-image library.

Other
1.0.2
MIT
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The rolling-ball algorithm estimates the background intensity of a grayscale image in case of uneven exposure

Other
1.1.1
MIT
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Depth Anything V2 is a highly practical solution for robust monocular depth estimation

enums.algoTasks.OTHER
1.0.1
Apache-2.0
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Depth Anything is a highly practical solution for robust monocular depth estimation

enums.algoTasks.OTHER
1.0.1
Apache-2.0
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Flux is a series of text-to-image generation models based on diffusion transformers

Image generation
1.0.2
Apache-2.0