Ready to use and editable Computer Vision algorithms from your favorite frameworks.
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Load COCO 2017 dataset
Load Crop/Weed Field Image Dataset (CWFID) for semantic segmentation
Load PascalVOC dataset
Load Wine Grape Instance Segmentation Dataset (WGISD)
DeepLabv3+ inference model of Detectron2 for semantic segmentation.
Inference for Segment Anything Model (SAM).
TransUNet inference for semantic segmentation
Multi-class semantic segmentation using Unet, the default model was trained on Kaggle's Carvana Images dataset
Panoptic driving Perception using YoloPv2
Training process for DeepLabv3+ model of Detectron2.
