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merge branch 'master' of https://github.com/aladdinpersson/Machine-Learning-Collection
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@@ -14,7 +14,7 @@ $ pip install requirements.txt
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Available on Kaggle: [link](https://www.kaggle.com/dataset/1cf520aba05e023f2f80099ef497a8f3668516c39e6f673531e3e47407c46694)
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### Download Pascal VOC dataset
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Download the preprocessed dataset from [link](https://www.kaggle.com/aladdinpersson/pascal-voc-yolo-works-with-albumentations). Just unzip this in the main directory.
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Download the preprocessed dataset from [link](https://www.kaggle.com/aladdinpersson/pascal-voc-dataset-used-in-yolov3-video). Just unzip this in the main directory.
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### Download MS COCO dataset
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Download the preprocessed dataset from [coming soon](). Just unzip this in the main directory.
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@@ -26,7 +26,7 @@ Edit the config.py file to match the setup you want to use. Then run train.py
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| Model | mAP @ 50 IoU |
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| ----------------------- |:-----------------:|
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| YOLOv3 (Pascal VOC) | 78.2 |
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| YOLOv3 (MS-COCO) | Not done yet |
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| YOLOv3 (MS-COCO) | Will probably train on this at some point |
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The model was evaluated with confidence 0.2 and IOU threshold 0.45 using NMS.
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@@ -54,4 +54,4 @@ We present some updates to YOLO! We made a bunch of little design changes to mak
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journal = {arXiv},
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year={2018}
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}
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```
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```
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