Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
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PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
High level network definitions with pre-trained weights in TensorFlow
Build fully-functioning computer vision models with PyTorch
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.