Comments (14)
I am sorry I don't understand your question. The annotation file (https://github.com/gulvarol/grocerydataset#annotationtxt) has the 'brand' id which corresponds to the category. You can convert the information in any format you like.
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Thank you for your reply.
Each <b_i> in this annotation.txt has a value of zero. I want to turn it into a trademark name for each product. in other words,I want to convert annotation.txt annotation information into the format of the .xml file in the annotation inside the VOC2007 dataset. Because I want to use faster r-cnn to train your data set.
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Zero is the 'other' class. Not all of the class annotations are zero.
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Hi, there's a lot of mis-classification in annotation file.
For example look at line 164 in Annotations.txt
File name: C2_P04_N3_S4_1
Cat Ids: ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '1', '1', '1', '4', '4', '4', '4', '4', '4', '4', '10', '10', '10']
First shelf of planogram contains all Marlboro(cat id: 1) but in annotations.txt contains all 0.
from grocerydataset.
There could be bounding boxes that are not annotated as one of the brand categories:
So among the annotated ones, there should be no wrong labels (they are all manually verified). Among the remaining ones (0: "other" class), there could be missing labels because not every bounding box is exhaustively annotated.
from grocerydataset.
So, how to figure out which of the images are properly annotated?
Because, I see lot of them are not.
from grocerydataset.
As I said, the bounding boxes that are annotated as non-zero are manually verified. The 'other' category has some noise, but is largely correct. You can easily annotate more yourself either manually or semi-automatically, as the number of categories are very small.
from grocerydataset.
Ok, Thanks.
from grocerydataset.
How is the csv file structured? Am I right to assume it has the following structure?
from grocerydataset.
I guess this should be the case -
Could you confirm? @gulvarol
from grocerydataset.
I have not created the csv file, it was commited by @revantt
from grocerydataset.
I guess this should be the case -
Could you confirm? @gulvarol
Hi @sayakpaul the headers for this file is [Image_id,x_min,y_min,x_max,y_max,label]
from grocerydataset.
Yeah got it. Maybe updating the csv to include the headers would help reduce this.
from grocerydataset.
The labelling of classes in annotations.csv in totally wrong. Surprised by how none has raised it yet
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