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mivolo_v2

iitolstykh

🤗 Space | 🌐 Github | 📜 MiVOLO Paper (2023) 📜 MiVOLO Paper (2024) We introduce state-of-the-art multi-input transformer for age and gender estimation. + Resolution: Width and height of face/body crops must be `384px` + Precision: FP32 / FP16 + `mivolo` library

Text generationOpen weights

Input Text→ Output Text

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YOLO-Face-Person-Detector

iitolstykh

This model is a fine-tuned version of **YOLOv8x** specialized in detecting two specific classes: **Face** and **Person**. It has been trained on a large-scale proprietary dataset consisting of approximately 150,000 images. The high capacity of the YOLOv8x architecture combined with a diverse proprietary dataset ensures high accuracy and robustness in various scenarios. You can load the model using the Hugging Face transformers library by enabling custom code execution.

Object detection

Input Image→ Output Not verified

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Cost analysis

Adjust monthly token usage to compare estimated API costs.

Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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