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Ikomia HUB

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

17 items found

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Inference for Mobile Segment Anything Model (SAM).

1.0.2
Apache-2.0
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Train for MMLAB segmentation models

1.2.2
Apache-2.0
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Inference for MMLAB segmentation models

2.0.2
Apache-2.0
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Inference for Segment Anything Model (SAM).

1.1.2
Apache-2.0
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Train models for semantic segmentationwith transformers from HuggingFace.

1.1.1
Apache-2.0
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multi-class semantic segmentation using Unet

1.0.1
GPL-3.0
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Multi-class semantic segmentation using Unet, the default model was trained on Kaggle's Carvana Images dataset

1.1.1
GPL-3.0
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Semantic segmentation using models from Hugging Face.

1.1.2
Apache-2.0
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Panoptic driving Perception using YoloPv2

1.2.1
MIT
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Training process for TransUNet model.

1.0.1
Apache-2.0