Questions tagged [object-detection]
Object detection is a computer-vision and image-processing technique for locating instances of objects in images or videos. Common applications include face detection and object tracking. Object detection algorithms typically leverage machine learning or deep learning to produce meaningful results.
349 questions
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How to properly implement and debug RPN anchors in ResNet-18 for multi-object detection?
I am working on my first object detection project and need to implement multi-object detection using ResNet-18 (I am restricted to using this architecture). My dataset follows the COCO format and ...
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How can I convert a one-line substation schema image into XML/JSON with all components and connections preserved?
I have an image of a one-line substation schema diagram that includes various components (like transformers, circuit breakers, etc.) and the connections between them. I’m looking for a way to convert ...
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generate yolo model only from text, or sampling image
Have you ever used an object detection system that generates results from text, image, or video inputs? If so, what was your experience?
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is it possible for YOLO to remember previous weights data if I only train new class data using previous weights?
I trained my first model using yolov8m.pt. now I want to use best.pt from the first model to train the second model with new class data (not including first model data). This second class needs to ...
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ShiftScaleRotate not working with binding boxes
Albumentations work correctly with an image and a segmentation mask. But loses all boxes if ShiftScaleRotate augmentation is applied. Other augmentations work well ...
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How to train a model to detect a specific region (D at top) in an image regardless of varying bottom content?
I want to classify images coming in from a video stream from a moving camera into a few different signs, but the issue is there are 2 types of signs which are really similar:
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How to deal with many unlabeled data in an object detection dataset
I've a large multi-class object detection image dataset. The goal is to use a Yolo(v11) model to be trained on the aforementioned dataset to solve the object detection task.
My intuition says that the ...
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YOLOv7-tiny train and val obj_loss plots diverge very early
I am training a YOLOv7-tiny model and have the following observations from the training session:
the train and val objectness loss plots diverged pretty early on in the training process
the class and ...
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How does YOLO predict objects that are proportionally smaller than a single grid cell?
In YOLO, I notice that, if the idea is to have each grid cell be responsible for predicting some $B$ # of bounding boxes for objects that belong to its center, how does YOLO predict an object that is ...
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Detecting specific classes of objects in image
I want to pre-process images before training a classifier on them by detecting "distractor objects" (present in almost all images, but unrelated to the classification task) and cropping the ...
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Installation of Tensor flow Object Detection API on CPU
I am trying to install the Tensorflow Object Detection API on local CPU . I am using python 3.11.4 and Downloaded Protobuf version 3.20.3 and added the protoc.exe file to the scripts of the virtual ...
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How to Adjust parameters for training Tensor flow EfficientDet d0 model on a very small dataset
I am trying to extract details like invoice number, invoice date, total amount from multi layout pdf files. I have about 260 images in total for dataset after data argumentation. I am training ...
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How could I further improve my detection model?
I am currently tasked with the creation of a model which is able to detect burrows of small rodents from high resolution aerial images.
My labeled images are look like this:
My results now are the ...
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Object detection but only classification and not drawing bbox
I need to train a model that can tell what are the objects in the image but don't need to draw the bbox. Does my dataset still need bbox information?
Example of the inference function ->
inference(&...
