This is the app you get when you run streamlit hello
, extracted as its own app.
Edit Hello.py to customize this app to your heart's desire. ❤️
Check it out on Streamlit Community Cloud
This repo contains all the source code and dataset used in the paper Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3
This is the app you get when you run streamlit hello
, extracted as its own app.
Edit Hello.py to customize this app to your heart's desire. ❤️
Check it out on Streamlit Community Cloud
Hi,
I have trained a model with your dataset; however, I saw that you used voc dataset?? Did I understand it wrong or didn't you use your dataset which is uploaded here? Whatsoever, I couldn't figure out the command I have to use to test my model on a real-time webcam. Could you please help me with it?
Hello there, are pre-trained weights available for your model? This will not be used for commercial uses, only for testing some code
Hi man.
I have a question that you training on https://github.com/jekhor/aerial-cars-dataset and your github is the testing folder. Is it right ? I read your paper and I didn't see any thing about how you divide your training and testing. I saw jekhor/aerial-cars-dataset (153 files image) and your folder (102 files image). Can you share your dataset ?
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