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
Hi @David-19940718 👋🏻 In general, you can already train Florence-2, PaliGemma 2 and Qwen2.5-VL for object detection, but your dataset would have to be converted to JSONL format to be loaded.
maestro-1.1.0 will significantly simplify this process. We will enable training directly from the COCO / YOLO dataset. And maestro will handle parsing internally. We will also provide traditional computer vision metrics such as mAP, which you will be able to use for training and benchmarking. You can read more about it here.
I am marking the issue as a duplicate, as we are already planning these features in the mentioned issue. Feel free to comment there if you still have questions.
Search before asking
Description
Does it support to object-detection fine-tune via Qwen2.5-VL?
Use case
No response
Additional
No response
Are you willing to submit a PR?
The text was updated successfully, but these errors were encountered: