pest-detection-yolo11

Yudsky/pest-detection-yolo11

pest-detection-yolo11 is a object detection model from Yudsky. Use it when you need objects located in an image. The card lists the license as mit.

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Public

Updated Oct 14, 2024

Repo size

103 MB

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Public

Hugging Face

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.pt103 MB · 94%

At a glance

Task: Object Detection
License: mit
Access: Public
Created: Oct 10, 2024
Updated: Oct 14, 2024
SHA: e08daab1

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Yudsky/pest-detection

Model card

From the Hugging Face model README

Pest Detection Model - YOLO11

Introduction

This model was trained to detect various pests in agricultural settings using YOLO11. The goal of this model is to assist farmers and agronomists in identifying pests to help in better crop management. The model was trained on a custom dataset and has been optimized for accuracy and efficiency in identifying different types of pests.

Model Details

Model File: best.pt
Framework: YOLO11
Dataset: https://www.kaggle.com/datasets/leonidkulyk/ip102-yolov5

Training Metrics

Below are the metrics and results from the training process:

Epoch	Train Box Loss	Train Class Loss	Precision	Recall	mAP50	mAP50-95
1	1.158	1.488	0.436	0.087	0.062	0.031
2	1.021	0.994	0.553	0.167	0.138	0.074
3	0.916	0.874	0.611	0.209	0.191	0.102
4	0.828	0.785	0.513	0.271	0.240	0.130
5	0.763	0.712	0.485	0.305	0.287	0.163

Note: Metrics include precision, recall, mAP at 50% (mAP50), and mAP across 50-95% (mAP50-95) confidence.

Additional Files

Training Metrics CSV: A detailed CSV file containing training metrics and results.

Training Graphs

Below is the graph representing the model's training process, including metrics such as loss, precision, and recall.

Training Results

Task: Object Detection
License: mit
Created: Oct 10, 2024
Updated: Oct 14, 2024