YOLOv11-pose trained for rotating images to their correct orientation. Works best on images containing faces.

It puts image on a white card, rotates it correctly and crops.

python inference.py -h
usage: inference.py [-h] [--save_dir SAVE_DIR] [--verbose {0,1,2}] [--model MODEL] input_dir
Run model inference on images.
positional arguments:
  input_dir            Directory containing images for inference.
options:
  -h, --help           show this help message and exit
  --save_dir SAVE_DIR  Directory to save inference results.
  --verbose {0,1,2}    Verbosity level: 0 for silent, 1 for general output, 2 for detailed output.
  --model MODEL        Path to the YOLO model weights.
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for Qbsoon/image-corner-rotation

Base model

Ultralytics/YOLO11
Finetuned
(67)
this model