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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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+ # The School of AI - ERA(Extensive & Reimagined AI Program) - Assignment 13
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+ This folder consists of Assignment-13 from ERA course offered by - TSAI(The school of AI).
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+ Follow https://theschoolof.ai/ for more updates on TSAI
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+ For more details on the assignment, refer to github link:
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+ https://github.com/ToletiSri/TSAI_ERA_Assignments/tree/main/S13
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+ As part of the assignment, we have trained a YOLO-V3 model on PASCAL-VOC dataset, using pytorch lightning. PASCAL-VOC dataset is about 5GB of Data. Training this model took about 8 hours of GPU time with 16GB GPU RAM, provided over Kaggle. We have then saved the trained model to file - checkpoint.pth.tar. The saved model is uploaded and used in the current Space.
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+ As part of the app, we provide provide the following features to the user:
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+ - allow users to upload new images
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+ - Provide 3 example images
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+ As part of the output of the app, bounding boxes are shown around the 20 classes, for which the PASCAL VOC dataset is curated. These classes are listed as follows:
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+ "aeroplane",
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+ "bicycle",
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+ "bird",
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+ "boat",
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+ "bottle",
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+ "bus",
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+ "car",
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+ "cat",
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+ "chair",
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+ "cow",
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+ "diningtable",
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+ "dog",
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+ "horse",
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+ "motorbike",
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+ "person",
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+ "pottedplant",
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+ "sheep",
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+ "sofa",
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+ "train",
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+ "tvmonitor"
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+ ---
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