### YOLOv8m-seg Specialist v2 for Auto-Labeling (Female Genitalia)

This is a specialized YOLOv8 segmentation model trained specifically for detecting and segmenting female genitalia genitalia_f). It is designed to be used with auto-labeling tools like **AnyLabeling** to accelerate dataset annotation for training Stable Diffusion checkpoints, LoRAs, and ControlNets.

#### 🚀 Features & Training Details

- **Architecture:** YOLOv8m-seg (Medium Segmentation)

- **Dataset Size:** 3,583 curated images (including 298 negative background images to reduce false positives).

- **Validation Metrics (mAP50):**

- **Box mAP50:** 88.2%

- **Mask mAP50:** 85.6%

- **Single Class:** 0: genitalia_f

#### 🔧 How to Use (AnyLabeling)

To use this model in AnyLabeling for auto-segmentation, download both the .onnx and .yaml files and place them in your model directory.

**YAML Configuration yolov8m_seg_especialista_genitalia_v2.yaml):**

```yaml

type: yolov8_seg

name: genitalia_especialista_v2

display_name: Especialista Genitália V2

model_path: yolov8m_seg_especialista_genitalia_v2.onnx

nc: 1

classes:

- genitalia_f