---
title: "VlmClassificationStrategy"
canonical_url: "https://www.nutrient.io/api/python/enums/vlm-classification-strategy/"
md_url: "https://www.nutrient.io/api/python/enums/vlm-classification-strategy.md"
last_updated: "2026-05-28T16:37:58.789Z"
description: "Strategy for how zones are sent to the VLM for classification."
---

Strategy for how zones are sent to the VLM for classification.

```python

from nutrient_sdk import VlmClassificationStrategy

```

## Values

| Name                                   | Value | Description                                                                                                                                                                                                          |
| -------------------------------------- | ----- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `VlmClassificationStrategy.ONE_SHOT`   | `0`   | Send a single full-page image with bounding box coordinates in the prompt. The VLM performs spatial reasoning to classify each zone by its bbox.                                                                     |
| `VlmClassificationStrategy.MULTI_ZONE` | `1`   | Crop each zone from the source image and send multiple zone images per VLM call. The VLM classifies each cropped image by its visual content. Supports batching (BatchSize) and parallel execution (MaxConcurrency). |

## Usage Example

```python

from nutrient_sdk import VlmClassificationStrategy

# Access enum values

value = VlmClassificationStrategy.ONE_SHOT
print(f"Value: {value}")  # Output: Value: VlmClassificationStrategy.ONE_SHOT

print(f"Integer value: {value.value}")  # Output: Integer value: 0

```

---

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