PekingU / object-detection updated 2 years ago

rtdetr_r101vd_coco_o365

Name: rtdetr_r101vd_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

80 M

Context

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Downloads 30d

416 K

Likes

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

Download history

daily snapshots · 10 days

416 K385 K

Jul 28Jul 31Aug 3Aug 6

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	0.3 GB	0.9 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: 80 M
Tensor type: F32
Licence: apache-2.0
First seen on the Hub: 2024-06-05
Training datasets: coco
Added to our catalog: 2026-07-28

Compare with

table-transformer-structure-recognition 1.5 M table-transformer-detection 1.2 M PP-DocLayoutV3_safetensors 822 K yolos-small 746 K detr-resnet-50 544 K table-transformer-structure-recognition-v1.1-all 240 K

Appears in

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