A Lightweight Object Detection Network for Real-Time Detection of Driver Handheld Call on Embedded Devices
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Tensorflow SSD mobilenetV1 vs SSD mobilenetV2 to ONNX conversion inconsistency · Issue #898 · onnx/tensorflow-onnx · GitHub
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A comparative study of the effectiveness of using popular DNN object detection algorithms for pith detection in cross-sectional images of parawood - ScienceDirect
![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
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Realtime human pose recognition through computer vision - Using TensorFlow and PoseNet on a video feed
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Review: MobileNetV1 — Depthwise Separable Convolution (Light Weight Model) | by Sik-Ho Tsang | Towards Data Science
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