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.

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not able to show evaluation metrics for object detection on MSCOCO like dataset using FASTAI

I want to show evaluation metrics for coco object detection,I have saved my learner in .pth file and I have data in variable data(databunch type fastai) , I have the code from the notebook finding ...
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On-Device Football Detection Model not performing up to the par ; misdetections

I have trained a football detection model. I have so far trained the models using RCNN, SSD (backbone MobileNet), CenterNet and others. SSD and Centernet, so far have been the best in terms of speed ...
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Loss decreases, but Validation Loss just fluctuates

I've been trying to implement object detection using a CNN architecture like this: ...
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Retraining Single Shot MultiBox Detector model on a custom data set?

Has anyone had any success retraining one of pytorch's saved SSD models using a custom dataset? I'm having a hard time finding documentation about what the input images need to look like, target ...
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Images get rotated during training

I am trying to train a ssd_mobilenet_v2_keras for object detection on a dataset of more or less 6000 images. The problem is that images are rotated randomly during training (or at least, this is what ...
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Impact of small objects of multiple sizes on the performance of Tensorflow object detection API

I have asked the same question in StackOverflow. However, no one has answered the question yet. I am using Mask R-CNN with Inception ResNet-v2 from TensorFlow Object Detection API. However, the ...
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Object Detection for Image where border is BBOX annotation

I'm wanting to train a object detection model where it contains images of different vehicles. let's say this is a sample image for which I want to use in my training set. as you can see this image ...
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How YOLO detects the object when the object is in multiple grid cells?

I have been reading various articles and watching videos on YouTube, but i cant seem to understand how does YOLO makes a bounding box for an object if it is in multiple grid cells? for example in the ...
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Sub labelling of an object

First timer in image processing - Pardon my cluelessness. Is there a concept of sub labeling in objection identification? I want to label a person and sub label "eye" of a person and train a ...
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Is there a way to set different confidence thresholds for different classes using Detectron2?

I am working on an object detection model for microscopic images. Some of my classes are very simple (feature wise), they are practically fancy lines. Some are more complicated objects. My problem is ...
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Labeling Images for object detection

I want to train a model for object detection. How do I have to labeling the train data? Is it enough to label the class/content of each box in the image or do I have to add the box position ...
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Is Object Detection Android app code available for ONNX/ORT object detection models?

I have a trained Object detection model in the ONNX format (optimized to run on mobile phones). I have converted that model into the ORT format (which is also a format that is optimized to run on ...
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How to find arbitrary object (toast) using image detection

I'm a beginner, I've done object detection using Haar Cascades on faces as well as ImageAI. So maybe not a complete beginner. I'm working on a simple regression project for my resume, predicting low ...
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How to make network learn about shape and color of the object separately?

I saw the paper and code of a Person Reidentification library by NVIDIA - GitHub - NVlabs/DG-Net: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) It says ...
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Difference between RRPN and R2CNN

I have been working on rotated object detection with Faster R-CNN on aerial imagery for some time and encountered with two different approaches for producing rotated bounding boxes. The first approach ...
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YOLOv5 can't detect object on custom dataset

Context: I'm trying to utilize an object detection model (YOLOv5) to detect damage/defects on cars (dents, scratches, cracks). Right now the goal is to make a minimum viable prototype, a model able to ...
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Object Detection without annotations and labels

Problem Statement: I am given 2 sets of images. All the images in both sets are without annotations and labels. First set : a set of images of the grocery store shelves (captured in the grocery stores)...
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How to count no. of boxes using OpenCV?

I am trying to find no. of boxes available in the warehouse. I am using: Here is my code for the same. ...
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Weird results from TFOD 2 object detectors like SSD MobileNet

I am following this video tutorial from YouTube to train the Tensorflow 2 object detector for sign language recognition using models from the TensorFlow 2 model zoo here. The tutorial uses a webcam to ...
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Activation Maps With TensorFlow Object Detection API

I am currently using TensorFlow Object Detection API, specifically the SSD Mobilenet for object detection. Usually with Keras and Tensorflow models, it is possible to use the GRADCAM algorithm to ...
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Is there a way to add an LSTM after my YOLOv4 Model detection?

For my final design project my team and I are looking to add an LSTM in between the YOLOv4 Model and the Object tracking provided (https://github.com/theAIGuysCode/yolov4-deepsort) we are using a ...
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YOLO map(mean avverage precision) implementation

I’m implementing YOLOv1 paper from scratch using PyTorch, I managed to implement the model and define its loss function correctly, and I trained it, it converges and doing very well. The thing is I ...
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Is YOLO model using a validation set for pure training purpose?

For what concerns training, validation and test dataset I think there is a little bit of confusion in literature terminology. I'm using this repo to train a model on custom 9 classes: https://github....
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How to collect a computer vision dataset?

Context: my team is researching some plant-growth patterns using object detection models. We have collected a small set of images (a few thousand) and ran some simple experiments. The results were ...
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mAP should be calculated on validation set or on test set?

I have a yolov3 model for object detection on 9 classes. What is the difference in computing metrics (such as mAP) on validation set and on a test set (unseen data)? What is usually done in literature ...
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Custom Class Using PyTorch Faster-RCNN Model not working

I have been trying the pre-trained faster-rcnn resnet50 PyTorch model in my project, and when I define my function get_detection() as seen below within the same file as where I'm calling it, it works ...
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Is Yoloact working on different images?

is it possible to train Yolact on one dataset containing various image sizes? I've used different cameras so resolution and size is varying. Thanks!
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How to use computer vision datasets like MSCOCO for object detection?

Im currently trying to understand tensorflow and specific the Tensorflow Object Detection API. I understood that I need annoted images which define regions of interest. Now I'm thinking about trying ...
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Object Detection: Unusual warning while training Detectron2 Faster R-CNN

I am trying to train a Detectron2 faster_rcnn_R_50_FPN_3x model on a custom dataset, pretrained on PublayNet Dataset. While training, I am getting the following warning: ...
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Cannot test custom object detection model

I am using this tutorial: https://gilberttanner.com/blog/tensorflow-object-detection-with-tensorflow-2-creating-a-custom-model . I have trained the model but when I try to test it with this command: <...
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Any way to make NER tagging with float(2.0) and inferencing with str(2)

One of the NER attribute is tagged with float (3.0, 2.0, ...) while the text file I am trying to inference from are in string format of (3, 2, ...). The Spacy model I used can't pick up the numbers ...
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Can you use a Confusion Matrix for a image detection problem?

I have read the classic examples of using a Confusion Matrix for a classification problem. ("Does a patient have cancer, or not?) The ML system I am working with is for detecting objects in an ...
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Find the Outlier

I have data that contains points (geo coordinates of a random planet, integer pairs) that represent places where land is definitely there. Here is an example with ...
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3D object detection for 2D images (logistics use case)

I am working on 3D object detection for parcel boxes same like amazon parcel,thinking to label with 3D cuboids but finding difficult to find a existing 3D object detection for 2D images. As far what i ...
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How can seemingly arbitrary anchor box sizes be created out of a few scales and ratios?

I am struggling with understanding a certain aspect of anchor boxes. Anchor boxes are generated from a list of predefined ratios and scales. For example: ...
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How to arrange ground-truth for anchor box representation in object detection

I am working on CharGrid and BERTGrid papers and have questions about bounding box regression decoder part. In the CharGrid paper, it states that there are two outputs from this branch: one with ...
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Should Non-Max Suppression (NMS) be tuned as a hyperparameter?

This may be a silly question, but when tuning hyperparameters for an object detection model, should we tune the NMS threshold, or is this better left to tune by hand afterwards? For region-proposal ...
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Object detection or image classification? Each image has 3 shapes. I want to return 1 if they are all triangles, 0 otherwise

Question is in the title. Every image has three shapes, which can be either triangles or squares. I want to return 1 if all shapes are triangles, 0 otherwise. Which do you think would work better for ...
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Yolov5 image detection without segmentation?

I have read a number of papers on Yolov5 images detection techniques. But the papers don't refers to any segmentation step done by Yolov5. While I know that it is not possible to do image ...
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Can I send images + boundingboxes(as features) to an LSTM? How?

I have previously trained a YOLO v4 object detection model and I am looking to leverage the results(Bboxes) of this model and create another model to recognize/classify accidents in CCTV footage/video(...
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How to annotate complete images?

I am currently playing around with tensorflows object detection to learn the basics. Now I've set myself the goal to detect letters in computer written text. For example the header of a newspaper ...
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Increase accuracy through "overfitting" multiple models?

I am currently trying to create a model to classify 5 specific classes from the coco dataset. I am using the object detection app from tensorflow. My question is: Will it be better if i: -Train one ...
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Is it possible to perform additional learning on a pre-trained model with YOLO based on Darknet

I would like to have a capability of my object detection model to improve over time as the available dataset grows over time, but avoid re-training a model from scratch every time I want to update the ...
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How to extract specific region from black and white image using openCV

I have been trying to learn OpenCV as I have a deep interest in Computer Vision and one of the problems I have been trying to figure out is how to extract a particular region of an image with OpenCV. ...
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Object Detection, custom dataset, algorithm [closed]

I'm looking for a solution to detect objects and classify them, using a custom dataset.The overall goal is to detcet objects using my webcam. So far I've wanted to use YOLO in combination with OpenCV, ...
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How to convert horizontal bounding box coordinates to oriented bounding box coordinates

I am trying to detect oriented bounding boxes with faster rcnn for a long time, but I could not make it to do so. I aim to detect objects in the DOTA dataset. I was using built-in faster rcnn model in ...
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How can I correctly identify an item within a larger image, but also detect if the item is the correct orientation?

I have some machinery at work with a small sticker I am trying to detect within a larger image. I am familiar with object detection techniques based on a trained classification model, but to further ...
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Average Precision i -1

I am new to this. I tried to train an SSD mobilenetv2 model using tensorflow object detection API. I followed this colab notebook https://colab.research.google.com/drive/...
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When using Jupyter (R kernel) and the keras library. When a cell is run there is no output. W/no output, there's no way knowing code functions.?

The keras digit object detection code does actually run in Jupyter using the R kernel. But it took three attempts to recognize that there wasn't an issue with Jupyter, or the R kernel, or the code. ...
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Speech/Voice Detection in Audio Files

I have several hundred 30 second long WAVE Files. I need a way to find out, if there are spoken words / voices / speech in them or not. E.g.: 1.wav no; 2.wav yes; 3.wav no (boolean) or 1.wav 0.21; 2....
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