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Dinov2 Base ONNX
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Dinov2 Base ONNX

Developed by onnx-community
This is the ONNX format version of the facebook/dinov2-base model, suitable for computer vision tasks.
Transformers
#Visual Feature Extraction#Self-Supervised Learning#Image Embedding
Downloads 19
Release Time : 4/14/2025

Model Overview

DINOv2 is a self-supervised learning vision model applicable to various computer vision tasks such as image classification, object detection, and segmentation.

Model Features

Self-Supervised Learning
Can be trained without large amounts of labeled data, suitable for various vision tasks.
Multi-Task Applicability
Can be used for various computer vision tasks such as image classification, object detection, and segmentation.
ONNX Format
Converted to ONNX format for efficient operation across multiple platforms and frameworks.

Model Capabilities

Image feature extraction
Image classification
Object detection
Image segmentation

Use Cases

Computer Vision
Image Classification
Classify and recognize image content
Object Detection
Identify specific objects and their locations in images
Image Segmentation
Classify each pixel in an image
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