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README.md
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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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