Plant Leaf Detection And Classification
Below is the Model Card for the YOLOv8s Leaf Detection and Classification model:
Modellquelle
- Art
- Other
- Dateigröße
- 21,5 MB
- Version
- vRevision a0460a2
- Aktualisiert
- 27. Sept. 2026
- Downloads
- 6
- Aufgaben
- Objekterkennung
- Quelle
- Hugging Face
Quellenauszug
Below is the Model Card for the YOLOv8s Leaf Detection and Classification model:
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 27. Sept.
Modellartefakte
1 Artefakt
Modellartefakte
1 ArtefaktQuellenauszüge
2 Auszüge
Quellenauszüge
2 Auszüge--- tags: - ultralyticsplus - yolov8 - ultralytics - yolo - vision - object-detection - pytorch - awesome-yolov8-models - plant classification - plant detection - leaf classification - leaf detection - crop detection - disease detection library_name: ultralytics library_version: 8.0.43 inference: False model-index: - name: foduucom/plant-leaf-detection-and-classification results: - task: type: object-detection metrics: - type: precision value: 0.946 name: [email protected](box) language: - en metrics: - accuracy --- Below is the Model Card for the YOLOv8s Leaf Detection and Classification model: --- <p align="center"> <!-- Smaller size image --> <img src="https://huggingface.co/foduucom/plant-leaf-detection-and-classification/resolve/main/thumbnail.jpg" alt="Image" style="width:500px; height:300px;"> </p> # Model Card for YOLOv8s Leaf Detection and Classification ## Model Summary The YOLOv8s Leaf Detection and Classification model is an object detection model based on the YOLO (You Only Look Once) framework. It is designed to detect and classify various types of leaves in images. The model has achieved a precision ([email protected]) of 0.946 on the object detection task. ## Model Details ### Model Description The YOLOv8s Leaf Detection and Classification model is built on the YOLOv8 architecture, which is known for its real-time object detection capabilities. This specific model has been trained to recognize and classify different types of leaves from various plant species. It can detect multiple leaf instances in an image and assign them to their respective classes. ``` ['ginger', 'banana', 'tobacco', 'ornamaental', 'rose', 'soyabean', 'papaya', 'garlic', 'raspberry', 'mango', 'cotton', 'corn', 'pomgernate', 'strawberry', 'Blueberry', 'brinjal', 'potato', 'wheat', 'olive', 'rice', 'lemon', 'cabbage', 'gauava', 'chilli', 'capcicum', 'sunflower', 'cherry', 'cassava', 'apple', 'tea', 'sugarcane', 'groundnut', 'weed', 'peach', 'coffee', 'cauliflower', 'tomato', 'onion', 'gram', 'chiku', 'jamun', 'castor', 'pea', 'cucumber', 'grape', 'cardamom'] ``` - **Developed by:** FODUU AI - **Model type:** Object Detection - **Language(s) (NLP):** English Furthermore, the YOLOv8s Leaf Detection and Classification model encourages user collaboration by allowing them to contribute their own plant leaf data. Users can submit images of new plant species, and suggest plant names...
Source context: 6 downloads · 0 likes · Pipeline object-detection · Library ultralytics · Repo ShravankumarJatavath/plant-leaf-detection-and-classification
