# Multi-scenario applicability

YOLOv8 is an efficient object detection model developed by Ultralytics, based on the YOLO (You Only Look Once) architecture, suitable for real-time object detection tasks.

Open CLIP is a zero-shot image classification model capable of classifying images without fine-tuning.

A profanity detection model trained on 200K text data points for identifying inappropriate language in text.

YOLOv10 is a real-time end-to-end object detection model with efficient inference speed and high detection accuracy.

YOLOv10 is an efficient real-time object detection model developed by Tsinghua University's MIG Lab, offering end-to-end detection capabilities.

This model is a fine-tuned Turkish speech recognition model based on OpenAI's Whisper Medium, with significantly reduced word error rate.

This is a neural machine translation model for English to Portuguese (including Brazilian Portuguese), part of the OPUS-MT project.