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A Public Image Database for Benchmark of Plant Seedling Classification Algorithms

arXiv 1711.05458 ↗First posted 15 Nov 2017cs.CVcited by 20

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Abstract (arXiv)

A database of images of approximately 960 unique plants belonging to 12 species at several growth stages is made publicly available. It comprises annotated RGB images with a physical resolution of roughly 10 pixels per mm. To standardise the evaluation of classification results obtained with the database, a benchmark based on f1 scores is proposed. The dataset is available at https://vision.eng.au.dk/plant-seedlings-dataset

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Nov 2017.

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Citing papers per year: 2021: 8; 2022: 4; 2023: 3; 2024: 1; 2025: 4.

20 papers.

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  1. 2021A Survey of Deep Learning Techniques for Weed Detection from Imagescited by 23
  2. 2021Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systemscited by 15
  3. 2023Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognitioncited by 11
  4. 2021Practical Evaluation of Out-of-Distribution Detection Methods for Image Classificationcited by 10
  5. 2022Standardizing and Centralizing Datasets to Enable Efficient Training of Agricultural Deep Learning Modelscited by 7
  6. 2025Vision Transformers in Precision Agriculture: A Comprehensive Surveycited by 6
  7. 2021Semi-supervised dry herbage mass estimation using automatic data and synthetic imagescited by 5
  8. 2022The Power of Transfer Learning in Agricultural Applications: AgriNetcited by 5
  9. 2025A survey of datasets for computer vision in agriculturecited by 5
  10. 2023A Unified Framework for Generative Data Augmentation: A Comprehensive Surveycited by 4
  11. 2025WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classificationcited by 4
  12. 2022Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Reviewcited by 3
8 more
  1. 2021Direct Estimation of Appearance Models for Segmentationcited by 2
  2. 2021Deep Learning Techniques for In-Crop Weed Identification: A Reviewcited by 2
  3. 2021A Novel lightweight Convolutional Neural Network, ExquisiteNetV2cited by 2
  4. 2023CWD30: A Comprehensive and Holistic Dataset for Crop Weed Recognition in Precision Agriculturecited by 2
  5. 2021Global Wheat Challenge 2020: Analysis of the competition design and winning modelscited by 1
  6. 2022Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Contextcited by 1
  7. 2024Multispectral Fine-Grained Classification of Blackgrass in Wheat and Barley Cropscited by 0
  8. 2025AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestockcited by 0