Replies: 1 comment 1 reply
-
|
@xoofee annotations are correct, but of course this will be very difficult to predict correctly as these types of annotations represent a minority of the dataset. |
Beta Was this translation helpful? Give feedback.
1 reply
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
Uh oh!
There was an error while loading. Please reload this page.
-
This image is from coco

https://filebox.ece.vt.edu/~aroma/web/coco_images/val2014/COCO_val2014_000000005193.jpg
the original annotation of person is:

you can see that PERSON 1 annotation box does not contains his left palm, while PERSON 2 annotation box contains the left palm but not the right palm
does this lead to learning difficulty?
in fact the Yolov5x model's result on this image has a False Positive of Person which has a low IOU with the ground truth. The prediction does not contain PERSON 2's left hand. However, it contains the left hand of PERSON 1, which is wrong

python detect.py --weight yolov5x.pt --source coco-2017/data/000000005193.jpgBeta Was this translation helpful? Give feedback.
All reactions