Hi @George_Soloupis, upon closer comparison between the colab result (see Google Colab 2) and the one from the Android app using code here, I noticed a slight difference. By the way, I updated the Java code to round the value:
        float[] data = outputBuffer.getFloatArray();

        int[] bbox = new int[4];
        for (int i=0; i<4; i++)
            bbox[i] = Math.round(data[i] * 256);



The colab inference bounding box is [0.05095369, 0.01484564, 0.96664214, 0.42464137] times 256, which leads to [ 13,   3, 247, 108]


The inference result using the above code is [0.04957533, 0.013957918, 0.9678618, 0.4281884] times 256, which leads to [13, 4, 248, 110]


I tried the same code on some other input images and the difference can be 3 to 4 pixels. Do you have any insight into this difference and what I may need to do to minimize it?