I am making a real time object detector as my project . I have the following doubts : 1) how many images of each item should I take to train accurately ? 2) will the model which has earlier been trained on different objects detect those objects if I used that to train other objects ? 3) which object detector model should I use ?
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Your question is a little broad. Your question may get closed.Scott Chamberlain– Scott Chamberlain2018-05-27 18:01:36 +00:00Commented May 27, 2018 at 18:01
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1) With tensorflow you can start with 150-200 images of each class to start testing with some decent initial results. You may have to increase the images based on results
2) Yes
3) You could start with any of the models, like ssd_mobilenet_v1_coco Here are all of the models available which are trained on COCO dataset
Each of the pre-trained model is different from others in terms of speed of detection, accuracy etc., Based on your needs you need to pick
Additionally Seems you are new to Obeject detection, refer the following articles if you need a start on how to do
https://pythonprogramming.net/training-custom-objects-tensorflow-object-detection-api-tutorial/
https://medium.com/@dana.yu/training-a-custom-object-detection-model-41093ddc5797
