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Questions tagged [computer-vision]

Computer Vision is a subfield of computer science which deals with analyzing and understanding images. This includes detection of objects like faces in images or segmenting images.

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Is object aspect ratio truly important for resize robustness, or is this suggestion based on a misunderstanding — e.g., treating a very wide object as if it is “bigger” or “pixel-richer” than a square ...
vinvin's user avatar
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0 votes
1 answer
144 views

I'm trying to distill a YOLO11x detection model into a YOLO11n for inference speed improvements without sacrificing too much detection performance. For this, I just overloaded some functions in the ...
Simon Hergott's user avatar
2 votes
1 answer
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I have ~1,000 pictures like this. I really want the long, thin rock core in the middle, but they all differ (slightly) in angle, have different lengths, shaped ends and rock colours vary. I tried ...
user24007's user avatar
2 votes
0 answers
62 views

I am training an DensNet model on medical dataset which has gold standards as per annotation. After training i noticed accuracy is just 60%. Later i performed following changes but still no luck. ...
NIrbhay Mathur's user avatar
2 votes
0 answers
39 views

I'm working on a Raspberry Pi 4–based project involving the MLX90640 thermal camera breakout. The camera outputs a thermal heat map (a low-resolution infrared image of 32x24 pixels). My goal is to ...
Zak A's user avatar
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5 votes
1 answer
99 views

I’m working on an object detection system and I'm new to this field. Here i'm talking with respect to camera point of view. When a object is detected which is far from the camera, it appears small and ...
Basavaraj Kittali's user avatar
1 vote
1 answer
66 views

My requirement: Need to extract license plates without duplicates and store images in a folder,then apply ocr to extract text from images. What i have achieved: Iam able to detect license plates ...
Raj's user avatar
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38 views

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 ...
Daniel's user avatar
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36 views

I am working on 6D pose tracking, where the goal is to estimate how 3D position and orientation of an object changes from frame t-1 to t. Train/validation datasets are synthetic and come from a single ...
zak's user avatar
  • 61
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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 ...
Necrosis's user avatar
1 vote
0 answers
24 views

I am using a 6D continuous rotation representation (e.g., two orthogonal vectors from a 3×3 rotation matrix) to predict camera rotations in panoramic video sequences. Since panoramic videos involve ...
yep123's user avatar
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1 vote
0 answers
42 views

I am currently building my first CNN network on my own for a regression task for which the network must predict the coordinates I am looking at on my screen based on an input image taken through my ...
bebel's user avatar
  • 155
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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 ...
user178010's user avatar
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1 answer
32 views

I'm looking for images dataset which have multiple images per instance. For example, healthcare dataset, where each person is classified with a diagnosys and have several images describing them.
J. Doe's user avatar
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39 views

I'm trying to automate a process where someone has to tag when an animal jumps from one platform to another platform. Currently, a manual review of the video is done to note at which frame the animal ...
blackoutlampcurtain's user avatar

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