Trained model detects other objects

Hello! I have trained my model using /object_detection/model_main.py with SSD_mobilenet_v1_coco model. I have trained it to detect glasses for something like ~20,000 steps, after the training it detects glasses with 99-100% accuracy. But it also detects everything, that usual mobilenet v1 coco model detect(around 90 other objects) and labels them as glasses. What i must do to make my model stop detecting other objects?

System information

• What is the top-level directory of the model you are using: trained model
• Have I written custom code (as opposed to using a stock example script provided in TensorFlow): no
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 16.04
• TensorFlow installed from (source or binary): source
• TensorFlow version (use command below): tensorflow-gpu
• Bazel version (if compiling from source): n/a
• CUDA/cuDNN version: 10.1
• GPU model and memory: 2080ti 11264 MB
• Exact command to reproduce: n/a