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Added MOT20 and updated MOT17 metrics in README
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facundo-lezama committed Oct 12, 2022
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Expand Up @@ -162,32 +162,27 @@ If you are looking for a tracker, here are some other projects worth noting:

## Benchmarks

[MOT17](https://motchallenge.net/data/MOT17/) results obtained using [motmetrics4norfair](https://github.com/tryolabs/norfair/tree/master/demos/motmetrics4norfair) demo script. Hyperparameters were tuned for reaching a high `MOTA` on this dataset. A more balanced set of hyperparameters, like the default ones used in the other demos, is recommended for production.

| | Rcll | Prcn | GT MT PT ML | FP FN IDs FM | MOTA MOTP |
| :------------: | :---: | :---: | :--------------: | :--------------------: | :---------: |
| MOT17-13-DPM | 18.5% | 85.8% | 110 6 31 73 | 355 9490 90 100 | 14.7% 26.7% |
| MOT17-04-FRCNN | 56.3% | 93.2% | 83 18 43 22 | 1959 20775 90 104 | 52.0% 10.7% |
| MOT17-11-FRCNN | 61.4% | 92.9% | 75 18 34 23 | 443 3639 65 62 | 56.1% 10.2% |
| MOT17-04-SDP | 77.5% | 97.4% | 83 49 25 9 | 1003 10680 232 257 | 74.9% 13.2% |
| MOT17-13-SDP | 57.6% | 83.3% | 110 46 26 38 | 1349 4934 164 163 | 44.6% 20.0% |
| MOT17-05-DPM | 38.1% | 82.9% | 133 11 58 64 | 544 4281 90 100 | 28.9% 24.3% |
| MOT17-09-DPM | 59.7% | 75.1% | 26 4 17 5 | 1052 2147 120 117 | 37.7% 26.3% |
| MOT17-10-DPM | 37.5% | 84.9% | 57 6 19 32 | 856 8024 127 153 | 29.8% 24.9% |
| MOT17-02-SDP | 50.9% | 75.9% | 62 11 38 13 | 3003 9122 272 290 | 33.3% 18.4% |
| MOT17-11-DPM | 54.2% | 84.7% | 75 12 24 39 | 927 4321 87 63 | 43.5% 21.7% |
| MOT17-09-FRCNN | 58.5% | 98.5% | 26 7 17 2 | 49 2209 40 39 | 56.8% 9.6% |
| MOT17-11-SDP | 75.7% | 90.9% | 75 34 30 11 | 719 2297 112 105 | 66.9% 14.1% |
| MOT17-02-FRCNN | 36.5% | 79.5% | 62 7 26 29 | 1751 11796 124 136 | 26.4% 13.4% |
| MOT17-05-FRCNN | 54.9% | 90.0% | 133 23 69 41 | 420 3123 78 84 | 47.7% 18.0% |
| MOT17-04-DPM | 42.5% | 83.5% | 83 7 44 32 | 3985 27335 406 432 | 33.2% 21.1% |
| MOT17-10-SDP | 74.1% | 88.0% | 57 30 24 3 | 1295 3323 283 286 | 61.8% 19.8% |
| MOT17-10-FRCNN | 60.9% | 75.7% | 57 14 37 6 | 2507 5020 310 306 | 39.0% 17.2% |
| MOT17-09-SDP | 67.7% | 94.6% | 26 12 14 0 | 204 1722 54 56 | 62.8% 13.0% |
| MOT17-02-DPM | 20.2% | 81.4% | 62 5 14 43 | 856 14833 113 109 | 15.0% 24.6% |
| MOT17-13-FRCNN | 59.3% | 74.7% | 110 33 53 24 | 2334 4735 342 331 | 36.3% 18.4% |
| MOT17-05-SDP | 66.8% | 87.9% | 133 32 81 20 | 637 2299 134 133 | 55.6% 16.5% |
| OVERALL | 53.7% | 87.3% | 1638 385 724 529 | 26248 156135 3333 3426 | 44.9% 16.4% |
[MOT17](https://motchallenge.net/data/MOT17/) and [MOT20](https://motchallenge.net/data/MOT17/) results obtained using [motmetrics4norfair](https://github.com/tryolabs/norfair/tree/master/demos/motmetrics4norfair) demo script on the `train` split. We used detections obtained with [ByteTrack's](https://github.com/ifzhang/ByteTrack) YOLOX object detection model.

| MOT17 Train | IDF1 IDP IDR | Rcll | Prcn | MOTA MOTP |
| :---------: | :---------------: | :---: | :---: | :---------: |
| MOT17-02 | 61.3% 63.6% 59.0% | 86.8% | 93.5% | 79.9% 14.8% |
| MOT17-04 | 93.3% 93.6% 93.0% | 98.6% | 99.3% | 97.9% 07.9% |
| MOT17-05 | 77.8% 77.7% 77.8% | 85.9% | 85.8% | 71.2% 14.7% |
| MOT17-09 | 65.0% 67.4% 62.9% | 90.3% | 96.8% | 86.8% 12.2% |
| MOT17-10 | 70.2% 72.5% 68.1% | 87.3% | 93.0% | 80.1% 18.7% |
| MOT17-11 | 80.2% 80.5% 80.0% | 93.0% | 93.6% | 86.4% 11.3% |
| MOT17-13 | 79.0% 79.6% 78.4% | 90.6% | 92.0% | 82.4% 16.6% |
| OVERALL | 80.6% 81.8% 79.6% | 92.9% | 95.5% | 88.1% 11.9% |


| MOT20 Train | IDF1 IDP IDR | Rcll | Prcn | MOTA MOTP |
| :------: | :---------------: | :---: | :---: | :---------: |
| MOT20-01 | 85.9% 88.1% 83.8% | 93.4% | 98.2% | 91.5% 12.6% |
| MOT20-02 | 72.8% 74.6% 71.0% | 93.2% | 97.9% | 91.0% 12.7% |
| MOT20-03 | 93.0% 94.1% 92.0% | 96.1% | 98.3% | 94.4% 13.7% |
| MOT20-05 | 87.9% 88.9% 87.0% | 96.0% | 98.1% | 94.1% 13.0% |
| OVERALL | 87.3% 88.4% 86.2% | 95.6% | 98.1% | 93.7% 13.2% |

## Commercial support

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