PekingU / object-detection Open weights updated 2 years ago

rtdetr_r50vd_coco_o365

Name: rtdetr_r50vd_coco_o365
Author: PekingU

1. Model Details 2. Model Sources 3. How to Get Started with the Model 4. Training Details 5. Evaluation 6. Model Architecture and Objective 7. Citation

Params

40 M

Context

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Downloads 30d

208 K

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 65 days

▲ 41 K in the last 30 days (16.4%)

389 K195 K

Sep 7Sep 28Oct 20Nov 10

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f32	0.2 GB	0.7 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: RTDetrForObjectDetection
Parameters: 40 M
Tensor type: F32
Licence: apache-2.0
First seen on the Hub: 2024-05-21
Training datasets: coco
Added to our catalog: 2026-09-07

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