Charliesgt
/

pollencounter_detr_resnet50_benchmark

Object Detection

Inference Endpoints

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Charliesgt commited on Apr 15

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3f0f5f8

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1 Parent(s): fb8a78e

update ap

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README.md +12 -1

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@@ -126,7 +126,18 @@ Use the code below to get started with the model.
 ### Results
-[More Information Needed]
 #### Summary

 ### Results
+ Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.708
+ Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.927
+ Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.842
+ Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.575
+ Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.763
+ Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.775
+ Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.299
+ Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.727
+ Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.776
+ Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.642
+ Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.829
+ Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.834
 #### Summary