What is the difference between object detection and object …
Jul 31, 2015 · 6 Detection is the process of identification and classification is the categorization of the object based on a previously defined classes or types. While both are based on discernible …
Ultralytics YOLOv8 `probs` attribute returning `None` for object …
Aug 14, 2023 · The problem is you are trying to get the classification probability values from the results of the detection task. In yolov8 object classification and object detection are the …
How to locate multiple objects in the same image?
Currently, I am testing some classification's examples "Convolutional Neural Network" in the TensorFlow website, and it explains how to classify input images into pre-defined classes, but …
One stage vs two stage object detection - Stack Overflow
Jan 28, 2021 · One-stage detectors: Object classification and bounding-box regression are done directly without using pre-generated region proposals (candidate object bounding-boxes). Two …
Multi-label image classification vs. object detection
Feb 23, 2021 · Since you don't need the object localization, stick to classification only. Although you will be tempted to use the standard off-the-shelf network of multi-class multi-label object …
General object recognition with biggest number of classes
Aug 7, 2021 · ImageNet and Pascal VOC are examples of public labeled datasets for Image Classification. Object Detection based neural networks on the other hand, such as SSD and …
python - How to detect object color efficiently? - Stack Overflow
Feb 6, 2024 · Given the cropped object image, then what's the most efficient and accurate way to detect the color of the object? Previously, I trained a YOLO model to detect the color (10 class …
machine learning - difference between classification and detection ...
Jan 6, 2014 · Vision-based object detection algorithms consists typically of an image feature detector, which provides a digital description of local image content, and a pattern recognizer …
Best strategy to reduce false positives: Google's new Object …
Aug 14, 2017 · I'm setting up the new Tensorflow Object Detection API to find small objects in large areas of satellite imagery. It works quite well - it finds all 10 objects I want, but I also get …
python - How to use GNNexplainer for graph classification in the …
Jan 16, 2024 · I applied a GCN for graph binary classification, and I want to use GNNexplainer to explain the prediction. But I don't know how to apply GNNexplainer on my model. Here is my …