Comment by chhxdjsj

How do you prompt the model? In my experience, Qwen3-VL models have very accurate grounding capabilities (I’ve tested Qwen3-VL-30B-A3B-Instruct, Qwen3-VL-30B-A3B-Thinking, and Qwen3-VL-235B-A22B-Thinking-FP8).

Note that the returned values are not direct pixel coordinates. Instead, they are normalized to a 0–1000 range. For example, if you ask for a bounding box, the model might output:

```json [ {"bbox_2d": [217, 112, 920, 956], "label": "cat"} ] ```

Here, the values represent [x_min, y_min, x_max, y_max]. To convert these to pixel coordinates, use:

[x_min / 1000 * image_width, y_min / 1000 * image_height, x_max / 1000 * image_width, y_max / 1000 * image_height]

Also, if you’re running the model with vLLM > 0.11.0, you might be hitting this bug: https://github.com/vllm-project/vllm/issues/29595

It’s been about a year since I looked into this sort of thing, but molmo will give you x,y coordinates. I hacked together a project about it. I also think Microsoft’s omniparser is good at finding coordinates too.

https://huggingface.co/allenai/Molmo-7B-D-0924

https://github.com/logankeenan/george

https://github.com/microsoft/OmniParser

Could you combine it with a classic OCR segmentation process, so that along with the image you also provide box coordinates of each string?

It's very not accurate, but sometimes instructing to return pyautogui code works.

  prompt: I attach a screenshot (1920x1080). Write code to click the submit button using pyautogui.
  attachment: <screenshot>
  reply:
    import pyautogui
    pyautogui.click(100, 200)

Also curious about this. I tried https://moondream.ai/ as well for this task and it felt still far from being bulletproof.

you want get the exact coordinated by running a key point network to pinpoint which coordinates does the next click point is you can. here I show a example simple prompt which returns the keypoint location of the next botton to click and visually localize the point with a keypoint in the image

https://chat.vlm.run/c/e12f0153-7121-4599-9eb9-cd8c60bbbd69