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Ikomia HUB

Ready to use Computer Vision algorithms and Apps.

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Load Crop/Weed Field Image Dataset (CWFID) for semantic segmentation

Semantic segmentation
1.2.1
MIT
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Load classification dataset

Classification
1.0.4
MIT
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Load COCO 2017 dataset

Object detection
+5
1.2.3
MIT
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Load PascalVOC dataset

Classification
+4
1.1.0
MIT
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Load VGG Image Annotator dataset

Classification
+2
1.1.0
MIT
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Load Wine Grape Instance Segmentation Dataset (WGISD)

Object detection
+2
1.0.0
CC-BY-NC-4.0
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Load Wildreceipt dataset

Object detection
1.1.0
MIT
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Load YOLO dataset

Object detection
1.1.1
MIT
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Inference for Segment Anything Model (SAM).

Semantic segmentation
1.1.3
Apache-2.0
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Multi-class semantic segmentation using Unet, the default model was trained on Kaggle's Carvana Images dataset

Semantic segmentation
1.1.1
GPL-3.0
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Inference for Segment Anything Model 2 (SAM2).

Semantic segmentation
1.2.1
Apache-2.0