Questions tagged [object-recognition]

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How does deep learning helps in detecting multiple objects in single image?

Let's say there are two cars in an image. How can it detect these cars, given that it can detect single car in an image?
Amanuel Negash's user avatar
9 votes
1 answer
5k views

How does YOLO algorithm detect objects if the grid size is way smaller than the object in the test image?

In YOLO algorithm how do these grids output a prediction if some grids only see a small black portion of the car if the model was trained on datasets with full images?
Rishi Swethan's user avatar
10 votes
2 answers
11k views

Train object detection without annotated data/bounding boxes

From what I can see most object detection NNs (Fast(er) R-CNN, YOLO etc) are trained on data including ...
salient's user avatar
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0 votes
0 answers
37 views

TF object detection - The total number of detected objects is not increasing

I'm building a model to recognize fishes in the aquarium (150 different fishes). I'm using a faster_rcnn_inception_v2_coco_2018_01_28 model for transfer learning from TF object detection API. I have ...
Ahmad Al-Shalabi's user avatar