Row 95390

Row ID: 95390 | Dataset Entry | Axioma AXP Content Repository

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Normally, it does not matter which YOLO version you use. The performance is almost the same for all versions. I don't see any major differences in this paper either. One notable innovation, however, is that the object detection is not using NMS. All other versions have always used NMS. Architectural changes/loss function make no difference. But the omission of NMS is interesting. That could really make a difference.

FieldValue
text Normally, it does not matter which YOLO version you use. The performance is almost the same for all versions. I don't see any major differences in this paper either. One notable innovation, however, is that the object detection is not using NMS. All other versions have always used NMS. Architectural changes/loss function make no difference. But the omission of NMS is interesting. That could really make a difference.
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-25
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Raw Record

{
  "text": "Normally, it does not matter which YOLO version you use. The performance is almost the same for all versions. I don't see any major differences in this paper either. One notable innovation, however, is that the object detection is not using NMS. All other versions have always used NMS. Architectural changes/loss function make no difference. But the omission of NMS is interesting. That could really make a difference.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-25",
  "username_encoded": "Z0FBQUFBQm5Lak11UTgtVnl0WW9xZVJ3aTNEVVlrSzIwWFRlcFFCTHQ3dkxnZHd1QTA3YmVSTV9fdHJHVjh0anFrakt6RnRBdU15MG02VW5pZzU1Tk9ERkozTU5WelpnYTdlZlV3VF9MUXJrYk5oNGpOeUx4dDA9",
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}
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