Vibeleaderboard
← Benchmark guide

Model results

Roboflow Model Leaderboard

Choose a shared evaluation protocol to compare model scores. Versions, sources and configurations stay separate.

Atlas snapshot captured 10/19/2026, 10:20:28 AM UTC. This is an import timestamp, not the evaluation date. Coverage may be incomplete.

← All evaluation groups

Roboflow Model Leaderboard · mAP at IoU 0.50, medium objects

Source
Roboflow Model Leaderboard (reviewed publisher results)
Version
COCO 2017 (publisher version unspecified)
Measurement date
2025-07-03
Metric
fraction · Higher is better
Evaluation scope
COCO 2017 object detection; medium objects; publisher-reported mAP at evaluation IoU 0.50; source fractions on 0–1 scale; inference parameters {"conf":0,"imgsz":640,"max_det":100}; linked evaluator loads val2017/instances_val2017, but live table does not identify its split or dataset digest; declared model variants, not verified execution checkpoint hashes; executed dependency versions, hardware, precision, run count and uncertainty not supplied; publisher run-record date, not release date; size boundaries and exact aggregation implementation unverified

Exact score ties share a position. Positions do not establish statistical significance. Missing metadata is shown as unreported; matching imported metadata is not independent verification of the protocol.

  1. #1RTMDet-x

    openmmlab/rtmdet-x

    0.757069240303179 fraction

  2. #2RTMDet-l

    openmmlab/rtmdet-l

    0.7497522792256683 fraction

  3. #3RTMDet-m

    openmmlab/rtmdet-m

    0.728394291532225 fraction

  4. #4RTMDet-s

    openmmlab/rtmdet-s

    0.685270473579772 fraction

  5. #5RTMDet-t

    openmmlab/rtmdet-tiny

    0.6430497613031354 fraction

Roboflow Model Leaderboard model results | VibeLeaderboard