Tiny objects in remote sensing images only have a few pixels, and the detection difficulty is much higher than that of regular objects. General object detectors lack effective extraction of tiny ...

The scripts are based off the label_image.py example given in the TensorFlow Lite examples GitHub repository ... What's the difference between the TensorFlow Object Detection API and TFLite Model ...

This Handwritten Text Recognition can be implemented using TensorFlow. In this project, the system is trained on the IAM off-line dataset. This model can recognise the text in the images of segmented ...

In this paper, we propose using TensorFlow Object Detection API, based on the combination of deep convolutional ... and motorcycle detection from rural area images. We trained and tested these models ...

Testing different existing object detection frameworks (using Faster-RCNN and SSD detection via the Tensorflow Object Detection API and YOLO via Darkflow) as a method to do customized, large-scale ...

TensorFlow's Object Detection API is a powerful tool that can quickly enable anyone to build and deploy powerful image recognition software. Object detection not solely includes classifying and ...