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Ivenpeople V2
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Ivenpeople V2

Developed by jctivensa
A vision image classification model trained on the ImageNet-1k dataset, capable of recognizing multiple common object categories.
Image Classification
Transformers
#High-precision image classification#General object recognition#Pre-trained model
Downloads 19
Release Time : 1/17/2023

Model Overview

This model is a pre-trained vision classification model primarily used for image classification tasks, capable of recognizing various common categories including animals, everyday objects, buildings, etc.

Model Features

Multi-category Recognition
Capable of recognizing 1000 different object categories in the ImageNet-1k dataset
Pre-trained Model
Already pre-trained on large datasets, ready for direct inference or fine-tuning

Model Capabilities

Image Classification
Object Recognition
Visual Feature Extraction

Use Cases

Content Classification
Automatic Photo Classification
Automatically classify and organize user-uploaded photos
Can accurately identify main objects in photos
Smart Surveillance
Surveillance Video Analysis
Identify specific objects or scenes in surveillance footage
Can detect specific targets in real-time
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