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I implemented the following scoring methods:
- [ ] binary
- [ ] IoU
- [ ] Numenta
The aforementioned methods are used if the context of anomaly detection.
These include also some usefu…
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(next mAP calculation at 7392 iterations)
Last accuracy mAP@0.5 = 66.38 %, best = 66.38 %
7392: 0.476720, 0.489567 avg loss, 0.001000 rate, 3.874000 seconds, 295680 images
calculation mAP (mean a…
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Can evaluation scripts be provided on different datasets to validate the quantitative results provided in the paper？
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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(next mAP calculation at 1000 iterations)
1000: 0.684311, 0.856046 avg loss, 0.002610 rate, 0.782573 seconds, 256000 images, 11.660936 hours left
calculation mAP (mean average precision)...
77…
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I am doing some tests on object detection tasks. I find that if I do not append the crowd ground-trouth objects to `gts`, the final result is slightly different, 34.6 mAP vs 34.3 mAP.
I change this l…
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calculation mAP (mean average precision)...
320
detections_count = 490, unique_truth_count = 318
class_id = 0, name = pothole, ap = 44.22% (TP = 117, FP = 36)
for conf_thresh = 0.25,…
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Hi ChenHao,
I am a little bit confused about F1 and IOU calculation.
Why seperately calculate f1_0 and f1_1 then average them together?
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If you haven’t already, check out our [contributing guidelines](https://github.com/Expensify/ReactNativeChat/blob/main/contributingGuides/CONTRIBUTING.md) for onboarding and email contributors@expensi…
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"we adopt convolution kernel size of [16, 32, 64, 96, 128, 160, 192] for Activity Caption, and [8, 16, 32, 64] for TACoS."
actually, the kernel size is 1 in your code. This may not be called a multi-…