Irina Tolstykh

Model

mivolo_v2

Irina Tolstykh

We introduce state-of-the-art multi-input transformer for age and gender estimation. This model was trained on proprietary and open-source datasets. + mivolo library + transformers==4.51.0 + accelerate==1.8.1 If you find our work helpful, please consider citing our papers and leaving valuable stars

Model · Object detection

YOLO-Face-Person-Detector

Irina Tolstykh

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. If you prefer the standard Ultralytics API, you can download the weights from the Hub and load them directly. This method automatically handles model downloading for ultralytics YOLO model. This model is based on the Ultralytics YOLOv8…