Persolo_V2: Yolov4-based Pedestrian Detection
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Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Benchmark:
MOT20Det |
Short name:
Persolo_V2
Description:
Yolov4-based Pedestrian Detection trained on 200k images hydrated from OpenImage and fine-tuned on MOT20 Training Set.
Reference:
M. Elbatel, H. Maher, M. Abouzeid, A. Bayoumi. Persolo: A Pedestrian Is a Person Through Thick and Thin. In , 2022.
Last submitted:
September 06, 2021 (3 years ago)
Published:
February 27, 2023 at 12:54:29 CET
Submissions:
2
Project page / code:
Open source:
No
Hardware:
Tesla T4 GPU
Runtime:
29.4 Hz
Benchmark performance:
| Sequence | AP | MODA | MODP | FAF | TP | FP | FN | Rcll | Prcn | F1 |
| MOT20Det | 0.88 | 38.3 | 79.1 | 41.4 | 317,139 | 185,547 | 26,385 | 92.3 | 63.1 | 75.0 |
Detailed performance:
Raw data:
