You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I added private datasets (include person and car) to the training set of YOLO-World, hoping that YOLO-World can maintain zero-shot ability while adapting to private datasets. Through testing on lvis datasets, I found that the index only dropped a little. But when I used model detecting fire just now, I found that, i need to set the confidence level very low(0.00005) to detect it, and the model without private datasets can be detected despite using a higher confidence threshold(0.01), what is the problem? with private datasets without private datasets
The text was updated successfully, but these errors were encountered:
I added private datasets (include person and car) to the training set of YOLO-World, hoping that YOLO-World can maintain zero-shot ability while adapting to private datasets. Through testing on lvis datasets, I found that the index only dropped a little. But when I used model detecting fire just now, I found that, i need to set the confidence level very low(0.00005) to detect it, and the model without private datasets can be detected despite using a higher confidence threshold(0.01), what is the problem?
with private datasets
without private datasets
The text was updated successfully, but these errors were encountered: