object-detectionyolodarknetyolov4
Which one is the correct YOLOv4 total loss function formula?
I couldn't find the total loss function in the main YOLOv4 paper. However, I found two differing formulas from two different papers (difference is highlighted/marked in the images below). Which formula is the correct default total loss formula for YOLOv4?
FORMULA 1 - Source
FORMULA 2 - Source
Solution
Formula 1 is the more correct one because that term of the formula is the confidence loss when there is an object detected. And the confidence loss is based on the cross entropy error.
- yolov10n.pt generates error during prediction
- Convert image coordinate system to correct coordinate system in R
- Image processing how to detect specific custom shape in image
- How to add onTapGesture on a mesh?
- How to avoid "CUDA out of memory" in PyTorch
- While training Model on Google Colab, should I remain connected?
- I train yolo model with my own data set but there is no test result
- YOLOv8: How to calculate map on test set
- Why should I make annotations when creating a dataset for YOLO and SSD models
- Generate a confusion matrix for RetinaNet object detection model
- ModuleNotFound Error in Yolov5 using custom weights
- Returning the landing location of an object tracked using openCV from an irregular shaped region
- I am using the YOLOv5 model provided by Ultralytics in PyTorch. How can I see which images the model is struggling with?
- YOLOv4-tiny Darknet: cannot generate results for video detection
- OpenCV-Python overlapping boundingRect()
- I can't load the AI model on web with Roboflow
- How to convert yolo annotations to coco format. Json?
- Image detection using OpenCvSharp - C#
- What does Conv4_x, Conv8_x means in SSD
- Calculating IOU for bounding box predictions
- How can I locate this chemical test strip in the picture? OpenCV canny edge detection does not draw the bounding box
- How can I detect the two ellipses on a roulette wheel?
- How do I train the DeepSORT tracker for custom class?
- Ultralytics YOLOv8 `probs` attribute returning `None` for object detection
- What is the current «official» way/best practice to train an object detection model using the Tensorflow framework?
- How to detect an object (x) only when it is within another detected object (y) in computer vision?
- Label Studio imports bounding boxes incorrectly
- How to detect white blobs using OpenCV
- Can we add more epochs to already trained yolo nas model and start training from where i left off?
- YOLOv8: Optimising for map with confidence and iou in prediction