An open API service indexing awesome lists of open source software.

https://github.com/rathod-shubham/yolov8_od

Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.
https://github.com/rathod-shubham/yolov8_od

computer-vision deep-learning machine-learning model-development neural-network python3 yolo yolov8

Last synced: 7 months ago
JSON representation

Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.

Awesome Lists containing this project

README

          

# Yolov8

Anchor Free Detection
YOLOv8 is an anchor-free model. This means it predicts directly the center of an object instead of the offset from a known anchor box.

![anchor_box](https://github.com/RATHOD-SHUBHAM/Yolov8_OD/assets/58945964/2c3034dc-fcbd-4965-821e-1f98944bebc2)

Visualization of an anchor box in YOLO
Anchor boxes were a notoriously tricky part of earlier YOLO models, since they may represent the distribution of the target benchmark's boxes but not the distribution of the custom dataset.

image-15