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--- neural_net [2024/01/07 20:38] – created jhagstrand
+++ neural_net [2024/02/08 05:21] (current) – removed jhagstrand
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-====== Neural Net ======
-YOLO - you only look once
-looks at the whole image in one pass, with one neural net.
-though it segments the image into SxS squares
-bounding box: cx, cy, w, h, confidence
-w and h are expressed as percentages of the full image dimenrsions
-IOU - intersection over union, the area of the intersection divided by the area of the union,
-of the two boxes, ground truth vs predicted, used as confidence score in YOLO
-analyze image
-predict
-predict objects in image
-inputs: image, model, ground truth
-output: prediction
-pro - fast enough to be used for real-time object detection, 24 FPS
-con - because it segments the image into a grid, and allows only one object per cell,
-it does not do well with small and/or overlapping objects.
-comes in versions, YOLOv1, YOLOv3, YOLOv5s, etc
-----
-VisDrone dataset