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object-detection
Ultralytics/YOLOv8
Ultralytics/YOLOv8 is a object detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
What to verify before deployment
- Confirm the exact weight format and quantization.
- Measure memory at your intended context or image size.
- Review model-card limitations and evaluation methodology.
- Test latency and throughput on your target runtime.
Human review required
License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.
Verify at the source →SIMILAR OPTIONS
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object-detection
microsoft/table-transformer-structure-recognition
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PaddlePaddle/PP-DocLayoutV3_safetensors
PaddlePaddle/PP-DocLayoutV3_safetensors is a object detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
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datalab-to/surya_layout2
datalab-to/surya_layout2 is a object detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
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object-detection
Ultralytics/YOLO26
Ultralytics/YOLO26 is a object detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 14,405♡ 158
Unknown8 GB+ VRAMagpl-3.0
Deployment details →
object-detection
Ultralytics/YOLO11
Ultralytics/YOLO11 is a object detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 13,893♡ 204
Unknown8 GB+ VRAMagpl-3.0
Deployment details →
object-detection
Ultralytics/YOLOv8
Ultralytics/YOLOv8 is a object detection model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
↓ 8,727♡ 385
Unknown8 GB+ VRAMagpl-3.0
Deployment details →
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