jetson inference provides many learning models.
Many models use COCO dataset.
but i don’t find the ped100 image dateset.
Where is the ped100 dataset?
jetson inference provides many learning models.
Many models use COCO dataset.
but i don’t find the ped100 image dateset.
Where is the ped100 dataset?
Hi @dovmfflem, I believe that was an internal dataset not for redistribution. Also that model was using DetectNet architecture, which supported a single object class and had lower runtime performance than the multi-class SSD-Mobilenet. Going forward, it is recommended to use the included SSD-Mobilenet/Inception models (SSD-Mobilenet-v2 is now the default object detection model in jetson-inference).
As you pointed out, COCO dataset was used to train the SSD-Mobilenet/Inception models, which include person class.
Thank you reply.
Does SSD-Mobilenet-v2 have a person single class learning model?
The pre-trained SSD-Mobilenet models that come with jetson-inference are trained on the 90-class COCO dataset, so they include other classes too. However, if you change the names of the other classes in the class label file to void
, then those classes will be ignored during the detection.
hi @dusty_nv, can you explain that how we can change class names to void ? I didn’t understand this.
I want to ignore some class while object detection.
thanks
Hi @meminar, open your model’s labels text file (for example jetson-inference/data/networks/SSD-Mobilenet-v2/ssd_coco_labels.txt
) in an editor. Then change the names of the classes that you want to ignore to void
, and save the file. When you run the detectnet program again, it should ignore these classes during detection.