@Jacobsolawetz @JunFang-NWPU yes this should work, but make sure that your dataset and model both have the same number of classes: Dataset: yolov5/data/coco128.yaml Lines 14 to 15 in ad71d2d # number of classes nc: 80 Model: yolov5/models/yolov5s.yaml Lines 1 to 2 in ...
I see bits and pieces of code, as to passing the number of layers to freeze (in my case 20). But after that what are the next steps - to add the new classes and train for may be 100 iterations, stop and save the weights. Then once that is done I guess, I have to unfreeze ...
If yes, you need to take the dataset types into consideration. Only these 5 are supported: ImageNet Pascal Visual Object Classes (Pascal VOC) Common Objects in Context (COCO) Common Semantic Segmentation Unannotated dataset You can refer to these links for fur...
If yes, you need to take the dataset types into consideration. Only these 5 are supported: ImageNet Pascal Visual Object Classes (Pascal VOC) Common Objects in Context (COCO) Common Semantic Segmentation Unannotated dataset You can refer to these links for furth...
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Hi, I used coco pre-trained coco weights to fine tune on VOD dataset with much fewer classes but the results after 12 epochs was rather disappointing. Therefore i have a few questions 1- So In general how many epochs do you suggest for a...
Protocol buffers are a cross-platform, interlingual library for efficient serialization of structured data. Training Pipeline Configuration The Following Config file must edit root path. # SSD with Inception v2 configuration for MSCOCO Dataset. # Users should configure the fine_tune_checkpoint field in...
Image size.COCO trains at native resolution of--img 640, though due to the high amount of small objects in the dataset it can benefit from training at higher resolutions such as--img 1280. If there are many small objects then custom datasets will benefit from training at native or higher ...
in the coming years. However, there are still challenges in terms of dataset collection methods. This article aims to enhance the effectiveness of spectral technology in NDT of citrus and other fruits and to apply this technology in orchard environments. Firstly, the principles of spectral imaging...
in the coming years. However, there are still challenges in terms of dataset collection methods. This article aims to enhance the effectiveness of spectral technology in NDT of citrus and other fruits and to apply this technology in orchard environments. Firstly, the principles of spectral imaging...