README.md

metadata

title: YOLO12 - Specialized Object Detection
emoji: 👁
colorFrom: indigo
colorTo: blue
sdk: gradio
sdk_version: 6.12.0
app_file: app.py
pinned: false
tags:
  - Object Detection
  - Instance Segmentation
  - Pose Estimation
  - Oriented Bounding Boxes (OBB)
  - Image Classification
  - YOLO12
  - Computer Vision
short_description: Comprehensive YOLO12 app for computer vision tasks.

YOLO12 Computer Vision Space

Welcome to the YOLO12 Space! This application provides a unified interface to test and run the full suite of Ultralytics YOLO12 models for various computer vision tasks.

🚀 Features

• All-in-One Inference: Support for images and videos in a single app.
• Multiple Tasks: Switch seamlessly between different modes:
  • 🎯 Object Detection: Locate and identify objects with bounding boxes.
  • 🎨 Instance Segmentation: Precise per-pixel outlines of objects.
  • 🦴 Pose Estimation: Detect human points and skeletons.
  • 📐 Oriented Bounding Boxes (OBB): Detection for rotated objects (e.g., aerial or misaligned imagery).
  • 🏷️ Classification: Overall scene categorization.
• Model Selection: Choose from various model sizes (Nano, Small, Medium, Large, X-Large) to balance speed and accuracy.
• Adjustable Parameters: Fine-tune confidence thresholds, IoU (Intersection over Union), and max detections.

📦 Getting Started

1. Usage: Upload an image or video, select your preferred model variant and image size, then hit "Detect Objects".
2. Examples: Check out the gallery at the bottom of the "Image" tab for pre-loaded scenarios to see the models in action.

🛠️ Technology Stack

• Framework: Ultralytics Hub (YOLO12 Engine)
• UI: Gradio
• Deployment: Hugging Face Spaces

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Created by Atalay Denknalbant - Modified for YOLO12