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Product Prototype 1
Yolo Aerial Detection Persian is a specialized object detection tool designed to detect and label objects in aerial images or videos. It leverages the robust YOLOv1.1 model, which is known for its high-speed detection and accuracy. This tool is particularly optimized for aerial imagery, making it ideal for applications such as surveillance, monitoring, or environmental analysis.
Example command for detection:
python detect.py --weights yolov1_aerial.pt --source your_image.jpg
What types of objects can Yolo Aerial Detection Persian detect?
Yolo Aerial Detection Persian can detect a wide range of objects, including vehicles, buildings, people, and other typical aerial imagery objects. It’s optimized for objects commonly found in overhead views.
Can I use Yolo Aerial Detection Persian for non-aerial images?
While it is possible, the model is specifically trained for aerial imagery. Using it for ground-level images may result in lower accuracy compared to dedicated ground-object models.
How do I improve detection accuracy for specific objects?
You can improve accuracy by fine-tuning the model with your own dataset of aerial images. Adjusting detection thresholds and using higher-resolution input images can also enhance performance.