Submission: Extended FCOS-MixPBR/TUD-L/v3
Download submission
| Submission name |
v3
|
| Submission time (UTC) |
July 25, 2022, 2:24 p.m.
|
| User |
Yang-hai
|
| Task |
2D detection of seen objects |
| Dataset |
TUD-L |
| Training model type |
None |
| Training image type |
Synthetic + real |
| Description |
|
| Evaluation scores |
| AP: | 0.866 |
| AP50: | 0.996 |
| AP75: | 0.979 |
| AP_large: | 0.916 |
| AP_medium: | 0.865 |
| AP_small: | 0.802 |
| AR1: | 0.889 |
| AR10: | 0.889 |
| AR100: | 0.889 |
| AR_large: | 0.950 |
| AR_medium: | 0.880 |
| AR_small: | 0.800 |
| average_time_per_image: | 0.030 |
|
| User |
Yang-hai
|
| Publication |
Not yet |
| Implementation |
|
| Training image modalities |
RGB |
| Test image modalities |
RGB |
| Description |
|
| Computer specifications |
NVIDIA 3090 |