VNCoreMLFeatureValueObservation VS class VNClassificationObservation
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I was researching on CoreML to create Machine learning app. I was reading the apple Documentation and found this two class VNCoreMLFeatureValueObservation and VNClassificationObservation. After reading documentation i was confused on what kind of model should i use these class. Also apple documentation provide different model such as mobileNet, SqueezeNet, Places205-GoogLeNet, ResNet50 and VGG16
ios swift coreml
asked Nov 24 '18 at 9:41
SpenserSpenser
32
add a comment |
I was researching on CoreML to create Machine learning app. I was reading the apple Documentation and found this two class VNCoreMLFeatureValueObservation and VNClassificationObservation. After reading documentation i was confused on what kind of model should i use these class. Also apple documentation provide different model such as mobileNet, SqueezeNet, Places205-GoogLeNet, ResNet50 and VGG16
ios swift coreml
asked Nov 24 '18 at 9:41
SpenserSpenser
32
add a comment |
I was researching on CoreML to create Machine learning app. I was reading the apple Documentation and found this two class VNCoreMLFeatureValueObservation and VNClassificationObservation. After reading documentation i was confused on what kind of model should i use these class. Also apple documentation provide different model such as mobileNet, SqueezeNet, Places205-GoogLeNet, ResNet50 and VGG16
ios swift coreml
asked Nov 24 '18 at 9:41
SpenserSpenser
32
I was researching on CoreML to create Machine learning app. I was reading the apple Documentation and found this two class VNCoreMLFeatureValueObservation and VNClassificationObservation. After reading documentation i was confused on what kind of model should i use these class. Also apple documentation provide different model such as mobileNet, SqueezeNet, Places205-GoogLeNet, ResNet50 and VGG16
ios swift coreml
ios swift coreml
asked Nov 24 '18 at 9:41
SpenserSpenser
32
asked Nov 24 '18 at 9:41
SpenserSpenser
32
asked Nov 24 '18 at 9:41
SpenserSpenser
32
asked Nov 24 '18 at 9:41
SpenserSpenser
32
asked Nov 24 '18 at 9:41
SpenserSpenser
32
32
add a comment |
add a comment |
1 Answer
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The VNClassificationObservation is returned when the model is a classifier. It now outputs a dictionary of [String: Double] that has the probability score for every class in the model. The models you listed are all classifiers.
The VNCoreMLFeatureValueObservation is returned when the model is not a classifier. Instead of a dictionary, such models usually output an MLMultiArray object. You willhave to do your own post-processing to interpret the data from this kind of output.
answered Nov 24 '18 at 11:19
Matthijs HollemansMatthijs Hollemans
3,2031312
thank you for replay. In my research on Machine Learning in iOS. i found your CoreMLHelper. i read CoreMLHelper documentation and also created prediction app with your library. I have a dought can't i use Non-maximum suppression (NMS) to create bounding box in classification observations
– Spenser
Nov 24 '18 at 13:56
NMS doesn't create bounding boxes, it only keeps the best ones. If you have a classifier output, you don't get bounding box predictions. What exactly are you trying to do?
– Matthijs Hollemans
Nov 25 '18 at 10:17
i was using ResNet50 model to classify object and i thought of adding box in that object which classifies with confidence > 0.75.
– Spenser
Nov 25 '18 at 12:50
i create object prediction app using mobile Net model, i also use you coreMLHelper. when my app start predicting objects such as person or laptop more then one bounding box appears. Is that a bug in my code or its model problem. My app does not predict accurately. i wanted my object detection to be accurate.
– Spenser
Nov 25 '18 at 17:04
Those questions are way too broad for Stack Overflow. ;-) But yes, usually multiple bounding boxes appear for each object.
– Matthijs Hollemans
Nov 26 '18 at 9:54
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1 Answer
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1 Answer
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oldest
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votes
The VNClassificationObservation is returned when the model is a classifier. It now outputs a dictionary of [String: Double] that has the probability score for every class in the model. The models you listed are all classifiers.
The VNCoreMLFeatureValueObservation is returned when the model is not a classifier. Instead of a dictionary, such models usually output an MLMultiArray object. You willhave to do your own post-processing to interpret the data from this kind of output.
answered Nov 24 '18 at 11:19
Matthijs HollemansMatthijs Hollemans
3,2031312
thank you for replay. In my research on Machine Learning in iOS. i found your CoreMLHelper. i read CoreMLHelper documentation and also created prediction app with your library. I have a dought can't i use Non-maximum suppression (NMS) to create bounding box in classification observations
– Spenser
Nov 24 '18 at 13:56
NMS doesn't create bounding boxes, it only keeps the best ones. If you have a classifier output, you don't get bounding box predictions. What exactly are you trying to do?
– Matthijs Hollemans
Nov 25 '18 at 10:17
i was using ResNet50 model to classify object and i thought of adding box in that object which classifies with confidence > 0.75.
– Spenser
Nov 25 '18 at 12:50
i create object prediction app using mobile Net model, i also use you coreMLHelper. when my app start predicting objects such as person or laptop more then one bounding box appears. Is that a bug in my code or its model problem. My app does not predict accurately. i wanted my object detection to be accurate.
– Spenser
Nov 25 '18 at 17:04
Those questions are way too broad for Stack Overflow. ;-) But yes, usually multiple bounding boxes appear for each object.
– Matthijs Hollemans
Nov 26 '18 at 9:54
add a comment |
The VNClassificationObservation is returned when the model is a classifier. It now outputs a dictionary of [String: Double] that has the probability score for every class in the model. The models you listed are all classifiers.
The VNCoreMLFeatureValueObservation is returned when the model is not a classifier. Instead of a dictionary, such models usually output an MLMultiArray object. You willhave to do your own post-processing to interpret the data from this kind of output.
answered Nov 24 '18 at 11:19
Matthijs HollemansMatthijs Hollemans
3,2031312
thank you for replay. In my research on Machine Learning in iOS. i found your CoreMLHelper. i read CoreMLHelper documentation and also created prediction app with your library. I have a dought can't i use Non-maximum suppression (NMS) to create bounding box in classification observations
– Spenser
Nov 24 '18 at 13:56
NMS doesn't create bounding boxes, it only keeps the best ones. If you have a classifier output, you don't get bounding box predictions. What exactly are you trying to do?
– Matthijs Hollemans
Nov 25 '18 at 10:17
i was using ResNet50 model to classify object and i thought of adding box in that object which classifies with confidence > 0.75.
– Spenser
Nov 25 '18 at 12:50
i create object prediction app using mobile Net model, i also use you coreMLHelper. when my app start predicting objects such as person or laptop more then one bounding box appears. Is that a bug in my code or its model problem. My app does not predict accurately. i wanted my object detection to be accurate.
– Spenser
Nov 25 '18 at 17:04
Those questions are way too broad for Stack Overflow. ;-) But yes, usually multiple bounding boxes appear for each object.
– Matthijs Hollemans
Nov 26 '18 at 9:54
add a comment |
The VNClassificationObservation is returned when the model is a classifier. It now outputs a dictionary of [String: Double] that has the probability score for every class in the model. The models you listed are all classifiers.
The VNCoreMLFeatureValueObservation is returned when the model is not a classifier. Instead of a dictionary, such models usually output an MLMultiArray object. You willhave to do your own post-processing to interpret the data from this kind of output.
answered Nov 24 '18 at 11:19
Matthijs HollemansMatthijs Hollemans
3,2031312
The VNClassificationObservation is returned when the model is a classifier. It now outputs a dictionary of [String: Double] that has the probability score for every class in the model. The models you listed are all classifiers.
The VNCoreMLFeatureValueObservation is returned when the model is not a classifier. Instead of a dictionary, such models usually output an MLMultiArray object. You willhave to do your own post-processing to interpret the data from this kind of output.
answered Nov 24 '18 at 11:19
Matthijs HollemansMatthijs Hollemans
3,2031312
edited Nov 24 '18 at 13:21
answered Nov 24 '18 at 11:19
Matthijs HollemansMatthijs Hollemans
3,2031312
answered Nov 24 '18 at 11:19
Matthijs HollemansMatthijs Hollemans
3,2031312
answered Nov 24 '18 at 11:19
Matthijs HollemansMatthijs Hollemans
3,2031312
3,2031312
thank you for replay. In my research on Machine Learning in iOS. i found your CoreMLHelper. i read CoreMLHelper documentation and also created prediction app with your library. I have a dought can't i use Non-maximum suppression (NMS) to create bounding box in classification observations
– Spenser
Nov 24 '18 at 13:56
NMS doesn't create bounding boxes, it only keeps the best ones. If you have a classifier output, you don't get bounding box predictions. What exactly are you trying to do?
– Matthijs Hollemans
Nov 25 '18 at 10:17
i was using ResNet50 model to classify object and i thought of adding box in that object which classifies with confidence > 0.75.
– Spenser
Nov 25 '18 at 12:50
i create object prediction app using mobile Net model, i also use you coreMLHelper. when my app start predicting objects such as person or laptop more then one bounding box appears. Is that a bug in my code or its model problem. My app does not predict accurately. i wanted my object detection to be accurate.
– Spenser
Nov 25 '18 at 17:04
Those questions are way too broad for Stack Overflow. ;-) But yes, usually multiple bounding boxes appear for each object.
– Matthijs Hollemans
Nov 26 '18 at 9:54
add a comment |
thank you for replay. In my research on Machine Learning in iOS. i found your CoreMLHelper. i read CoreMLHelper documentation and also created prediction app with your library. I have a dought can't i use Non-maximum suppression (NMS) to create bounding box in classification observations
– Spenser
Nov 24 '18 at 13:56
NMS doesn't create bounding boxes, it only keeps the best ones. If you have a classifier output, you don't get bounding box predictions. What exactly are you trying to do?
– Matthijs Hollemans
Nov 25 '18 at 10:17
i was using ResNet50 model to classify object and i thought of adding box in that object which classifies with confidence > 0.75.
– Spenser
Nov 25 '18 at 12:50
i create object prediction app using mobile Net model, i also use you coreMLHelper. when my app start predicting objects such as person or laptop more then one bounding box appears. Is that a bug in my code or its model problem. My app does not predict accurately. i wanted my object detection to be accurate.
– Spenser
Nov 25 '18 at 17:04
Those questions are way too broad for Stack Overflow. ;-) But yes, usually multiple bounding boxes appear for each object.
– Matthijs Hollemans
Nov 26 '18 at 9:54
thank you for replay. In my research on Machine Learning in iOS. i found your CoreMLHelper. i read CoreMLHelper documentation and also created prediction app with your library. I have a dought can't i use Non-maximum suppression (NMS) to create bounding box in classification observations
– Spenser
Nov 24 '18 at 13:56
thank you for replay. In my research on Machine Learning in iOS. i found your CoreMLHelper. i read CoreMLHelper documentation and also created prediction app with your library. I have a dought can't i use Non-maximum suppression (NMS) to create bounding box in classification observations
– Spenser
Nov 24 '18 at 13:56
NMS doesn't create bounding boxes, it only keeps the best ones. If you have a classifier output, you don't get bounding box predictions. What exactly are you trying to do?
– Matthijs Hollemans
Nov 25 '18 at 10:17
NMS doesn't create bounding boxes, it only keeps the best ones. If you have a classifier output, you don't get bounding box predictions. What exactly are you trying to do?
– Matthijs Hollemans
Nov 25 '18 at 10:17
i was using ResNet50 model to classify object and i thought of adding box in that object which classifies with confidence > 0.75.
– Spenser
Nov 25 '18 at 12:50
i was using ResNet50 model to classify object and i thought of adding box in that object which classifies with confidence > 0.75.
– Spenser
Nov 25 '18 at 12:50
i create object prediction app using mobile Net model, i also use you coreMLHelper. when my app start predicting objects such as person or laptop more then one bounding box appears. Is that a bug in my code or its model problem. My app does not predict accurately. i wanted my object detection to be accurate.
– Spenser
Nov 25 '18 at 17:04
i create object prediction app using mobile Net model, i also use you coreMLHelper. when my app start predicting objects such as person or laptop more then one bounding box appears. Is that a bug in my code or its model problem. My app does not predict accurately. i wanted my object detection to be accurate.
– Spenser
Nov 25 '18 at 17:04
Those questions are way too broad for Stack Overflow. ;-) But yes, usually multiple bounding boxes appear for each object.
– Matthijs Hollemans
Nov 26 '18 at 9:54
Those questions are way too broad for Stack Overflow. ;-) But yes, usually multiple bounding boxes appear for each object.
– Matthijs Hollemans
Nov 26 '18 at 9:54
add a comment |
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