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objectdetectionyolov5
dennisamematekpor/objectdetectionyolov5
objectdetectionyolov5 is a machine learning model from dennisamematekpor. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This is a Gradio application for detecting weeds in images using a fine-tuned YOLOv5 model trained on a Weed-AI dataset.
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Public
Updated Aug 11, 2025
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Aug 10, 2025
- Updated
- Aug 11, 2025
- SHA
- d7c95ae2
Base models
Model card
From the Hugging Face model README
YOLOv5 Weed Detection
This is a Gradio application for detecting weeds in images using a fine-tuned YOLOv5 model trained on a Weed-AI dataset.
How to Use
- Upload an image using the interface.
- The model will process the image and display the annotated image with detected weeds and their bounding boxes.
- A text output will summarize the detected objects, including their class and confidence score.
Model Information
The model used in this application is a YOLOv5 model fine-tuned on the Northern WA Wheatbelt Blue Lupins dataset from Weed-AI.
Files
app.py: The Python script containing the Gradio application code.requirements.txt: Lists the Python dependencies.best.pt: The trained YOLOv5 model weights (this will be uploaded separately).
- License
- apache-2.0
- Languages
- en
- Created
- Aug 10, 2025
- Updated
- Aug 11, 2025