HyperAI

Multiple Object Tracking On Bdd100K Test 1

Metrics

mHOTA
mIDF1
mMOTA

Results

Performance results of various models on this benchmark

Comparison Table
Model NamemHOTAmIDF1mMOTA
contrastive-learning-for-multi-object46.156.542.8
bytetrack-multi-object-tracking-by-1-55.840.1
qdtrack-quasi-dense-similarity-learning-for41.852.335.6
unifying-short-and-long-term-tracking-with48.260.040.2
bdd100k-a-diverse-driving-video-database-with-44.726.3