![Does anyone knows why my distance-learned SSD Mobilenet V2 Quant. model detects closer/bigger object with less percentage than smaller ones or what causes this? If its close it to ~50%, but on Does anyone knows why my distance-learned SSD Mobilenet V2 Quant. model detects closer/bigger object with less percentage than smaller ones or what causes this? If its close it to ~50%, but on](https://preview.redd.it/xujmxa7sw1z51.png?width=640&crop=smart&auto=webp&s=6b9eb7a76b85b6ae53dacd8cfbcca6cce7db774e)
Does anyone knows why my distance-learned SSD Mobilenet V2 Quant. model detects closer/bigger object with less percentage than smaller ones or what causes this? If its close it to ~50%, but on
A Lightweight Object Detection Network for Real-Time Detection of Driver Handheld Call on Embedded Devices
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SSD model with mobilenet feature extractor is not converging . · Issue #2193 · tensorflow/models · GitHub
![Does anyone knows why my distance-learned SSD Mobilenet V2 Quant. model detects closer/bigger object with less percentage than smaller ones or what causes this? If its close it to ~50%, but on Does anyone knows why my distance-learned SSD Mobilenet V2 Quant. model detects closer/bigger object with less percentage than smaller ones or what causes this? If its close it to ~50%, but on](https://preview.redd.it/gpikww0o79z51.png?width=640&crop=smart&auto=webp&s=91ed3e026b3ce33e2d020635054074015a711f03)
Does anyone knows why my distance-learned SSD Mobilenet V2 Quant. model detects closer/bigger object with less percentage than smaller ones or what causes this? If its close it to ~50%, but on
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Sensors | Free Full-Text | sTetro-Deep Learning Powered Staircase Cleaning and Maintenance Reconfigurable Robot | HTML
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Sensors | Free Full-Text | Vision Based Wall Following Framework: A Case Study With HSR Robot for Cleaning Application | HTML
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Tensorflow SSD mobilenetV1 vs SSD mobilenetV2 to ONNX conversion inconsistency · Issue #898 · onnx/tensorflow-onnx · GitHub
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