mAP using Tensorflow object detection API
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After I train my object detector using the Tensorflow object detection API(to detect only cars), I get an mAP value around 0.32 while running the eval.py script. However, in the Tensorflow Detection model Zoo page(which can be accessed at https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md), the mAP's for various models are 100 times the value I have obtained but when I look at my model's predictions on the test set, they are actually pretty good. Should I multiply the value which I have obtained by 100 or is there something wrong with the model that I have trained?
python tensorflow object-detection
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After I train my object detector using the Tensorflow object detection API(to detect only cars), I get an mAP value around 0.32 while running the eval.py script. However, in the Tensorflow Detection model Zoo page(which can be accessed at https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md), the mAP's for various models are 100 times the value I have obtained but when I look at my model's predictions on the test set, they are actually pretty good. Should I multiply the value which I have obtained by 100 or is there something wrong with the model that I have trained?
python tensorflow object-detection
New contributor
Jitesh Malipeddi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
After I train my object detector using the Tensorflow object detection API(to detect only cars), I get an mAP value around 0.32 while running the eval.py script. However, in the Tensorflow Detection model Zoo page(which can be accessed at https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md), the mAP's for various models are 100 times the value I have obtained but when I look at my model's predictions on the test set, they are actually pretty good. Should I multiply the value which I have obtained by 100 or is there something wrong with the model that I have trained?
python tensorflow object-detection
New contributor
Jitesh Malipeddi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
After I train my object detector using the Tensorflow object detection API(to detect only cars), I get an mAP value around 0.32 while running the eval.py script. However, in the Tensorflow Detection model Zoo page(which can be accessed at https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md), the mAP's for various models are 100 times the value I have obtained but when I look at my model's predictions on the test set, they are actually pretty good. Should I multiply the value which I have obtained by 100 or is there something wrong with the model that I have trained?
python tensorflow object-detection
python tensorflow object-detection
New contributor
Jitesh Malipeddi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Jitesh Malipeddi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited yesterday
Jitesh Malipeddi
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asked 2 days ago
Jitesh MalipeddiJitesh Malipeddi
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Jitesh Malipeddi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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