Skip to main content

Mushroom RGB-D image dataset for object detection and instance segmentation

Project description

# M18K: Mushroom Detection Dataset

Welcome to the Mushroom Detection Dataset repository. This dataset is a valuable resource for researchers and practitioners interested in automating agricultural processes, specifically related to mushroom harvesting, growth monitoring, and quality control. It provides a dedicated dataset for button mushroom (Agaricus bisporus) detection, comprising over 18,000 mushroom instances in 423 RGB-D image pairs.

## Overview

The dataset was collected using an Intel RealSense D405 camera, capturing realistic growth environment scenarios with comprehensive annotations. It serves as a benchmark for detection and instance segmentation algorithms in smart mushroom agriculture.

## Dataset Details

  • Mushroom Instances: Over 18,000

  • Image Pairs: 423 RGB-D image pairs

  • Camera Used: Intel RealSense D405

  • Annotations: Comprehensive annotations for detection and instance segmentation

## Download the Dataset

You can download the dataset directly from the repository using the link below:

[Download Dataset](https://drive.google.com/file/d/1iPANwP1k6tbz1EZRdG2qbst1tqqYsZ_x/view?usp=sharing)

Please refer to the dataset’s license file for information about usage and distribution rights.

## Environment Setup

To work with the dataset, you need to set up the environment. You can do this using the following commands:

`bash !conda create -n m18k python=3.10 -y !conda activate m18k `

## Installation

To install the m18k package for working with the dataset, use the following command:

`bash !pip install m18k `

## Results and Model Zoo

Coming soon.

## References

Coming soon.

Thank you for using the Mushroom Detection Dataset. We hope this resource aids your research and development efforts in the field of smart agriculture. If you have any questions or need support, please feel free to reach out to us.

Project details


Release history Release notifications | RSS feed

This version

1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

M18K-1.0.tar.gz (12.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

M18K-1.0-py3-none-any.whl (16.2 kB view details)

Uploaded Python 3

File details

Details for the file M18K-1.0.tar.gz.

File metadata

  • Download URL: M18K-1.0.tar.gz
  • Upload date:
  • Size: 12.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.14

File hashes

Hashes for M18K-1.0.tar.gz
Algorithm Hash digest
SHA256 11f5bec1f8caa4ff54d359696e5eacddf52309ebe550676dbf47de220bd509e5
MD5 2cf6f51c7679b4a5f5b9e7e7d15d427c
BLAKE2b-256 8c907084ebce8c089f4bd632f07c6a7e293b59e50181bacad247a75e7b419717

See more details on using hashes here.

File details

Details for the file M18K-1.0-py3-none-any.whl.

File metadata

  • Download URL: M18K-1.0-py3-none-any.whl
  • Upload date:
  • Size: 16.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.14

File hashes

Hashes for M18K-1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 17c368c6bed26b548410a04daf11153611f28253c051bc6b8bc9bb07bdaa2034
MD5 67a8904ebd1105415c69dddae9383469
BLAKE2b-256 49e93cf3f5c59eaa0785596a589852454b9aa47fd9c015f62eb18ead2afbf502

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page