Anzhcs_YOLOs is a collection of YOLOv8 models trained on custom annotated datasets. It includes models for face segmentation, eye segmentation, head and hair segmentation, breast detection, drone detection, and anime art scoring. The models are compatible with the Ultralytics library.
Anzhcs YOLOs sits in PulseGate's Other AI category. It focuses on providing specialized YOLO models trained on custom annotated datasets for niche detection and segmentation tasks. It is built as an open-source project for computer vision developers. Anzhcs YOLOs is open source under the AGPL-3.0 license. Anzhcs YOLOs is available on the web and API.
Anzhc builds and maintains Anzhcs YOLOs, and it first shipped in 2023. Development happens publicly on GitHub with 25 stars and 1 commit in the last 90 days. Key capabilities include Object Detection, Instance Segmentation, and Custom Datasets.
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