docs: Add resolution info for rf-detr (#1025)

## Description

Add information about resolution used in RF-DETR,

### Introduces a breaking change?

- [ ] Yes
- [x] No

### Type of change

- [ ] Bug fix (change which fixes an issue)
- [ ] New feature (change which adds functionality)
- [x] Documentation update (improves or adds clarity to existing
documentation)
- [ ] Other (chores, tests, code style improvements etc.)

### Tested on

- [ ] iOS
- [ ] Android

### Testing instructions

Just read the changes.

### Screenshots

<!-- Add screenshots here, if applicable -->

### Related issues

#1020 

### Checklist

- [ ] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [x] I have updated the documentation accordingly
- [ ] My changes generate no new warnings

### Additional notes

<!-- Include any additional information, assumptions, or context that
reviewers might need to understand this PR. -->

Author: msluszniak

docs/docs/02-benchmarks/inference-time.md

@@ -44,7 +44,7 @@ slower for very large images, which can increase total time.
 :::
 
 :::warning
-Times presented in the tables are measured for forward method with input size equal to 512. Other input sizes may yield slower or faster inference times.
+Times presented in the tables are measured for YOLO models with input size equal to 512. Other input sizes may yield slower or faster inference times. RF-DETR Nano uses a fixed resolution of 312×312.
 :::
 
 | Model / Device                                | iPhone 17 Pro [ms] | Google Pixel 10 [ms] |
@@ -226,7 +226,7 @@ slower for very large images, which can increase total time.
 Times presented in the tables are measured as consecutive runs of the model. Initial run times may be up to 2x longer due to model loading and initialization.
 :::
 :::warning
-Times presented in the tables are measured for forward method with input size equal to 512. Other input sizes may yield slower or faster inference times.
+Times presented in the tables are measured for YOLO models with input size equal to 512. Other input sizes may yield slower or faster inference times. RF-DETR Nano Seg uses a fixed resolution of 312×312.
 :::
 
 | Model            | Samsung Galaxy S24 (XNNPACK) [ms] | Iphone 17 pro (XNNPACK) [ms] |

docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md

@@ -131,4 +131,4 @@ YOLO models use the [`CocoLabelYolo`](../../06-api-reference/enumerations/CocoLa
 | yolo26m-seg     | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
 | yolo26l-seg     | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
 | yolo26x-seg     | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
-| rfdetr-nano-seg | 91                | [COCO](../../06-api-reference/enumerations/CocoLabel.md)            | N/A                   |
+| rfdetr-nano-seg | 91                | [COCO](../../06-api-reference/enumerations/CocoLabel.md)            | 312 (fixed)           |

docs/docs/03-hooks/02-computer-vision/useObjectDetection.md

@@ -118,15 +118,15 @@ See the full guide: [VisionCamera Integration](./visioncamera-integration.md).
 
 ## Supported models
 
-| Model                                                                                                                         | Number of classes | Class list                                                    | Multi-size Support |
-| ----------------------------------------------------------------------------------------------------------------------------- | ----------------- | ------------------------------------------------------------- | ------------------ |
-| [SSDLite320 MobileNetV3 Large](https://huggingface.co/software-mansion/react-native-executorch-ssdlite320-mobilenet-v3-large) | 91                | [COCO](../../06-api-reference/enumerations/CocoLabel.md)      | No                 |
-| [RF-DETR Nano](https://huggingface.co/software-mansion/react-native-executorch-rf-detr-nano)                                  | 80                | [COCO](../../06-api-reference/enumerations/CocoLabel.md)      | No                 |
-| [YOLO26N](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)  |
-| [YOLO26S](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)  |
-| [YOLO26M](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)  |
-| [YOLO26L](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)  |
-| [YOLO26X](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)  |
+| Model                                                                                                                         | Number of classes | Class list                                                    | Multi-size Support  |
+| ----------------------------------------------------------------------------------------------------------------------------- | ----------------- | ------------------------------------------------------------- | ------------------- |
+| [SSDLite320 MobileNetV3 Large](https://huggingface.co/software-mansion/react-native-executorch-ssdlite320-mobilenet-v3-large) | 91                | [COCO](../../06-api-reference/enumerations/CocoLabel.md)      | No (fixed: 320×320) |
+| [RF-DETR Nano](https://huggingface.co/software-mansion/react-native-executorch-rf-detr-nano)                                  | 80                | [COCO](../../06-api-reference/enumerations/CocoLabel.md)      | No (fixed: 312×312) |
+| [YOLO26N](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)   |
+| [YOLO26S](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)   |
+| [YOLO26M](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)   |
+| [YOLO26L](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)   |
+| [YOLO26X](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)   |
 
 :::tip
 YOLO models support multiple input sizes (384px, 512px, 640px). Smaller sizes are faster but less accurate, while larger sizes are more accurate but slower. Choose based on your speed/accuracy requirements.

docs/versioned_docs/version-0.8.x/02-benchmarks/inference-time.md

@@ -44,7 +44,7 @@ slower for very large images, which can increase total time.
 :::
 
 :::warning
-Times presented in the tables are measured for forward method with input size equal to 512. Other input sizes may yield slower or faster inference times.
+Times presented in the tables are measured for YOLO models with input size equal to 512. Other input sizes may yield slower or faster inference times. RF-DETR Nano uses a fixed resolution of 312×312.
 :::
 
 | Model / Device                                | iPhone 17 Pro [ms] | Google Pixel 10 [ms] |
@@ -226,7 +226,7 @@ slower for very large images, which can increase total time.
 Times presented in the tables are measured as consecutive runs of the model. Initial run times may be up to 2x longer due to model loading and initialization.
 :::
 :::warning
-Times presented in the tables are measured for forward method with input size equal to 512. Other input sizes may yield slower or faster inference times.
+Times presented in the tables are measured for YOLO models with input size equal to 512. Other input sizes may yield slower or faster inference times. RF-DETR Nano Seg uses a fixed resolution of 312×312.
 :::
 
 | Model            | Samsung Galaxy S24 (XNNPACK) [ms] | Iphone 17 pro (XNNPACK) [ms] |

docs/versioned_docs/version-0.8.x/03-hooks/02-computer-vision/useInstanceSegmentation.md

@@ -131,4 +131,4 @@ YOLO models use the [`CocoLabelYolo`](../../06-api-reference/enumerations/CocoLa
 | yolo26m-seg     | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
 | yolo26l-seg     | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
 | yolo26x-seg     | 80                | [COCO (YOLO)](../../06-api-reference/enumerations/CocoLabelYolo.md) | 384, 512, 640         |
-| rfdetr-nano-seg | 91                | [COCO](../../06-api-reference/enumerations/CocoLabel.md)            | N/A                   |
+| rfdetr-nano-seg | 91                | [COCO](../../06-api-reference/enumerations/CocoLabel.md)            | 312 (fixed)           |

docs/versioned_docs/version-0.8.x/03-hooks/02-computer-vision/useObjectDetection.md

@@ -118,15 +118,15 @@ See the full guide: [VisionCamera Integration](./visioncamera-integration.md).
 
 ## Supported models
 
-| Model                                                                                                                         | Number of classes | Class list                                                    | Multi-size Support |
-| ----------------------------------------------------------------------------------------------------------------------------- | ----------------- | ------------------------------------------------------------- | ------------------ |
-| [SSDLite320 MobileNetV3 Large](https://huggingface.co/software-mansion/react-native-executorch-ssdlite320-mobilenet-v3-large) | 91                | [COCO](../../06-api-reference/enumerations/CocoLabel.md)      | No                 |
-| [RF-DETR Nano](https://huggingface.co/software-mansion/react-native-executorch-rf-detr-nano)                                  | 80                | [COCO](../../06-api-reference/enumerations/CocoLabel.md)      | No                 |
-| [YOLO26N](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)  |
-| [YOLO26S](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)  |
-| [YOLO26M](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)  |
-| [YOLO26L](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)  |
-| [YOLO26X](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)  |
+| Model                                                                                                                         | Number of classes | Class list                                                    | Multi-size Support  |
+| ----------------------------------------------------------------------------------------------------------------------------- | ----------------- | ------------------------------------------------------------- | ------------------- |
+| [SSDLite320 MobileNetV3 Large](https://huggingface.co/software-mansion/react-native-executorch-ssdlite320-mobilenet-v3-large) | 91                | [COCO](../../06-api-reference/enumerations/CocoLabel.md)      | No (fixed: 320×320) |
+| [RF-DETR Nano](https://huggingface.co/software-mansion/react-native-executorch-rf-detr-nano)                                  | 80                | [COCO](../../06-api-reference/enumerations/CocoLabel.md)      | No (fixed: 312×312) |
+| [YOLO26N](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)   |
+| [YOLO26S](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)   |
+| [YOLO26M](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)   |
+| [YOLO26L](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)   |
+| [YOLO26X](https://huggingface.co/software-mansion/react-native-executorch-yolo26)                                             | 80                | [COCO YOLO](../../06-api-reference/enumerations/CocoLabel.md) | Yes (384/512/640)   |
 
 :::tip
 YOLO models support multiple input sizes (384px, 512px, 640px). Smaller sizes are faster but less accurate, while larger sizes are more accurate but slower. Choose based on your speed/accuracy requirements.