> ## Documentation Index
> Fetch the complete documentation index at: https://mintlify.com/QwenLM/Qwen3-VL/llms.txt
> Use this file to discover all available pages before exploring further.

# Omni Recognition

> Recognize animals, plants, people, scenic spots, cars, merchandise, and various objects

Qwen3-VL excels at recognizing a wide variety of objects beyond basic image classification. The model can identify animals, plants, people, celebrities, scenic spots, cars, merchandise, and many other object types with high accuracy.

## Capability Overview

The omni recognition capability enables you to:

* Identify animals, plants, and natural objects
* Recognize people, celebrities, and anime characters
* Detect products, merchandise, and commercial items
* Identify landmarks, scenic spots, and locations
* Recognize vehicles, cars, and transportation
* Classify flora, fauna, and various objects

## Example Usage

```python theme={null}
from transformers import AutoModelForImageTextToText, AutoProcessor

model = AutoModelForImageTextToText.from_pretrained(
    "Qwen/Qwen3-VL-235B-A22B-Instruct", dtype="auto", device_map="auto"
)
processor = AutoProcessor.from_pretrained("Qwen/Qwen3-VL-235B-A22B-Instruct")

messages = [
    {
        "role": "user",
        "content": [
            {
                "type": "image",
                "image": "path/to/your/image.jpg",
            },
            {"type": "text", "text": "What objects do you see in this image?"},
        ],
    }
]

inputs = processor.apply_chat_template(
    messages,
    tokenize=True,
    add_generation_prompt=True,
    return_dict=True,
    return_tensors="pt"
)
inputs = inputs.to(model.device)

generated_ids = model.generate(**inputs, max_new_tokens=128)
generated_ids_trimmed = [
    out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
]
output_text = processor.batch_decode(
    generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
)
print(output_text)
```

## Try it Yourself

Explore the full omni recognition cookbook with interactive examples:

[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QwenLM/Qwen3-VL/blob/main/cookbooks/omni_recognition.ipynb)

[View on GitHub](https://github.com/QwenLM/Qwen3-VL/blob/main/cookbooks/omni_recognition.ipynb)


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