Detr-resnet-50_finetuned-weed-detection Open-source Model - Accurately Perform Computer Vision Weed Detection

Detr Resnet 50 Finetuned Weed Detection

Developed by machinelearningzuu

A weed detection model fine-tuned based on facebook/detr-resnet-50, suitable for computer vision tasks.

Downloads 16

Release Time : 8/28/2023

Model Overview

This model is a ResNet-50 variant based on the DETR (Detection Transformer) architecture, specifically fine-tuned for weed detection tasks.

Transformer-based Object Detection

Utilizes the DETR architecture, combining the advantages of Transformer and CNN for end-to-end object detection.

ResNet-50 Backbone Network

Uses ResNet-50 as a feature extractor, offering excellent feature extraction capabilities.

Specialized for Weed Detection

Specifically optimized for weed detection tasks, potentially delivering superior performance in this domain.

Image Object Detection

Weed Recognition

Agricultural Scene Analysis

Agriculture

Farmland Weed Detection

Automatically identifies the location and types of weeds in farmland.

Precision Agriculture Management

Provides visual recognition support for precision weeding.

Property	Details
Base Model	facebook/detr - resnet - 50
License	Apache - 2.0

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