1. Introduction to end-face small target counting data set
Industrial end-face small target counting category: Category 1, category name object
Data set size: 864 images in the training set and 98 images in the validation set
Defect characteristics: small target counting, difficult to detect, as shown in the figure below;
1.1 Definition of small goals
1) Taking the COCO object definition of the general data set in the field of object detection as an example, small objects refer to less than 32×32 pixels (medium objects refer to 32*32-96*96, and large objects refer to greater than 96*96);
2) In actual application scenarios, it is usually more preferable to use the ratio relative to the original image to define: the length and width product of the object label box, divided by the length and width product of the entire image, and then open the square root. If the result is less than 3%, Just call it small goals;
1.2 Difficulties
1) The number of samples containing small targets is small, which potentially allows the target detection model to pay more attention to the detection of medium and large targets;
2) The area covered by small targets is smaller, so the locations of small targets will lack diversity. We speculate that this makes it difficult to verify the generalizability of small object detection;
3