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detr_nih_100ep_raise
MedicalVision/detr_nih_100ep_raise
detr_nih_100ep_raise is a object detection model from MedicalVision. Use it when you need objects located in an image. It is set up for transformers.
- dataset: NIH - original model: facebook/detr-resnet-50 - lr: 0.0001 - dropoutrate: 0.3 - weightdecay: 0.01 - maxepochs: 100
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.safetensors167 MB · 100%
At a glance
- Task
- Object Detection
- Library
- transformers
- Model type
- detr
- Access
- Public
- Created
- Aug 10, 2024
- Updated
- Aug 10, 2024
- SHA
- 07b0079f
Model card
From the Hugging Face model README
Original result
IoU metric: bbox
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.011
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.011
After training result
IoU metric: bbox
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.005
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.018
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.001
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.005
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.036
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.131
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.141
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.145
Config
- dataset: NIH
- original model: facebook/detr-resnet-50
- lr: 0.0001
- dropout_rate: 0.3
- weight_decay: 0.01
- max_epochs: 100
Logging
Training process
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- Task
- Object Detection
- Library
- transformers
- Type
- detr
- Created
- Aug 10, 2024
- Updated
- Aug 10, 2024