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2D Object Detection
2D Object Detection On Ceymo
2D Object Detection On Ceymo
Metrics
mAP
Results
Performance results of various models on this benchmark
Columns
Model Name
mAP
Paper Title
TransMind
70.7
Open-TransMind: A New Baseline and Benchmark for 1st Foundation Model Challenge of Intelligent Transportation
YOLOv7
69.5
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
TOOD
65.6
TOOD: Task-aligned One-stage Object Detection
YOLOX
57.7
YOLOX: Exceeding YOLO Series in 2021
Sparse R-CNN
47.3
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
0 of 5 row(s) selected.
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Next
HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
2D Object Detection
2D Object Detection On Ceymo
2D Object Detection On Ceymo
Metrics
mAP
Results
Performance results of various models on this benchmark
Columns
Model Name
mAP
Paper Title
TransMind
70.7
Open-TransMind: A New Baseline and Benchmark for 1st Foundation Model Challenge of Intelligent Transportation
YOLOv7
69.5
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
TOOD
65.6
TOOD: Task-aligned One-stage Object Detection
YOLOX
57.7
YOLOX: Exceeding YOLO Series in 2021
Sparse R-CNN
47.3
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
0 of 5 row(s) selected.
Previous
Next
2D Object Detection On Ceymo | SOTA | HyperAI