Detecting Multiple Boxes in Object Detection using Tensorflow in Android App












0















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.



I have also attached the output screen










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  • Welcome to StackOverflow. Please refer How do I ask a good question?.

    – Dhaval Simaria
    Nov 22 '18 at 6:08


















0















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.



I have also attached the output screen










share|improve this question

























  • Welcome to StackOverflow. Please refer How do I ask a good question?.

    – Dhaval Simaria
    Nov 22 '18 at 6:08
















0












0








0








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.



I have also attached the output screen










share|improve this question
















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.



I have also attached the output screen







android tensorflow object-detection object-detection-api tensorflow-lite






share|improve this question















share|improve this question













share|improve this question




share|improve this question








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





















  • 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














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