Detecting Multiple Boxes in Object Detection using Tensorflow in Android App
I am trying to train my custom model for detecting "Raccoon" in the Android App with ssd_mobilenet_v1_pets.config. I have used ssd_mobilenet_v2_coco_2018_03_29 pre-trained model. After 20K training steps, I am getting successfully frozen_inference_graph.pb
file. But when I used this file in my Android App result is not accurate. I am getting multiple boxes with 0.99 accuracies not only on Raccoon but also on others objects. Besides ssd_mobilenet_v2_coco_2018_03_29, i tried lots of pre-trained models.
Please help if anyone faced this problem.
android tensorflow object-detection object-detection-api tensorflow-lite
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I am trying to train my custom model for detecting "Raccoon" in the Android App with ssd_mobilenet_v1_pets.config. I have used ssd_mobilenet_v2_coco_2018_03_29 pre-trained model. After 20K training steps, I am getting successfully frozen_inference_graph.pb
file. But when I used this file in my Android App result is not accurate. I am getting multiple boxes with 0.99 accuracies not only on Raccoon but also on others objects. Besides ssd_mobilenet_v2_coco_2018_03_29, i tried lots of pre-trained models.
Please help if anyone faced this problem.
android tensorflow object-detection object-detection-api tensorflow-lite
Welcome to StackOverflow. Please refer How do I ask a good question?.
– Dhaval Simaria
Nov 22 '18 at 6:08
add a comment |
I am trying to train my custom model for detecting "Raccoon" in the Android App with ssd_mobilenet_v1_pets.config. I have used ssd_mobilenet_v2_coco_2018_03_29 pre-trained model. After 20K training steps, I am getting successfully frozen_inference_graph.pb
file. But when I used this file in my Android App result is not accurate. I am getting multiple boxes with 0.99 accuracies not only on Raccoon but also on others objects. Besides ssd_mobilenet_v2_coco_2018_03_29, i tried lots of pre-trained models.
Please help if anyone faced this problem.
android tensorflow object-detection object-detection-api tensorflow-lite
I am trying to train my custom model for detecting "Raccoon" in the Android App with ssd_mobilenet_v1_pets.config. I have used ssd_mobilenet_v2_coco_2018_03_29 pre-trained model. After 20K training steps, I am getting successfully frozen_inference_graph.pb
file. But when I used this file in my Android App result is not accurate. I am getting multiple boxes with 0.99 accuracies not only on Raccoon but also on others objects. Besides ssd_mobilenet_v2_coco_2018_03_29, i tried lots of pre-trained models.
Please help if anyone faced this problem.
android tensorflow object-detection object-detection-api tensorflow-lite
android tensorflow object-detection object-detection-api tensorflow-lite
edited Nov 22 '18 at 6:15
Pardeep
asked Nov 22 '18 at 6:02
PardeepPardeep
12
12
Welcome to StackOverflow. Please refer How do I ask a good question?.
– Dhaval Simaria
Nov 22 '18 at 6:08
add a comment |
Welcome to StackOverflow. Please refer How do I ask a good question?.
– Dhaval Simaria
Nov 22 '18 at 6:08
Welcome to StackOverflow. Please refer How do I ask a good question?.
– Dhaval Simaria
Nov 22 '18 at 6:08
Welcome to StackOverflow. Please refer How do I ask a good question?.
– Dhaval Simaria
Nov 22 '18 at 6:08
add a comment |
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