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Dinov2 Large
DINOv2 is a visual model released by Facebook Research that extracts general visual features through self-supervised learning, suitable for various downstream tasks.
Downloads 82
Release Time : 12/9/2023
Model Overview
DINOv2 is a self-supervised learning-based visual model capable of extracting high-quality general visual features, applicable to various computer vision tasks such as image classification, object detection, and segmentation.
Model Features
Self-Supervised Learning
Learns general visual features through self-supervision without the need for manually labeled data.
General Visual Features
Extracted features can be transferred to various downstream visual tasks.
ONNX Support
Provides ONNX format weights for easy deployment in web browsers.
Model Capabilities
Image Feature Extraction
Image Classification
Object Detection
Image Segmentation
Use Cases
Computer Vision
Image Classification
Use DINOv2-extracted features for image classification tasks.
Object Detection
Use DINOv2 as a feature extractor for object detection systems.
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