모델 유형별 학습 해상도

학습 해상도는 모델 정확도, 추론 속도 및 학습 시간에 영향을 줍니다. 각 모델 아키텍처는 이러한 요소들을 균형 있게 맞추는 기본 해상도를 가지고 있습니다. 기본적으로 Roboflow는 선택한 모델 아키텍처에 대한 기본 학습 해상도를 제안합니다.

아래 표는 각 모델 아키텍처 및 크기에 대한 기본 학습 해상도를 보여줍니다. 새 Dataset Version을 만들 때 resize 전처리 단계를 구성하여 이러한 기본값을 재정의할 수 있습니다. Dataset Version.

Object Detection

Model Type	Family & Size	Default Training Resolution
Object Detection	RF-DETR Nano	384×384
Object Detection	RF-DETR Small	512×512
Object Detection	RF-DETR Medium	576×576
Object Detection	RF-DETR Large	704×704
Object Detection	RF-DETR X Large	700x700
Object Detection	RF-DETR 2X Large	880x880
Object Detection	Roboflow 3.0 - Fast	640×640
Object Detection	Roboflow 3.0 - Accurate	640×640
Object Detection	Roboflow 3.0 - Medium	640×640
Object Detection	Roboflow 3.0 - Large	640×640
Object Detection	Roboflow 3.0 - Extra Large	640×640
Object Detection	YOLOv26(n/s/m/l/x)	640×640
Object Detection	YOLOv12 (n/s/m/l/x)	640×640
Object Detection	YOLOv11 (n/s/m/l/x)	640×640
Object Detection	YOLOv10 (n/s/m/b/l/x)	640×640
Object Detection	YOLOv9 (s/m/c/e)	640×640
Object Detection	YOLOv8 (n/s/m/l/x)	640×640
Object Detection	YOLOv5 (n/s/m/l/x)	640×640
Object Detection	YOLOv7 (legacy)	640×640
Object Detection	YOLO‑NAS Small	640×640
Object Detection	YOLO‑NAS Medium	640×640
Object Detection	Roboflow Instant	1008x1008

Instance Segmentation

Model Type	Family & Size	Default Training Resolution
Instance Segmentation	RF-DETR Seg Nano	312x312
Instance Segmentation	RF-DETR Seg Small	384x384
Instance Segmentation	RF-DETR Seg Medium	432x432
Instance Segmentation	RF-DETR Seg Large	504x504
Instance Segmentation	RF-DETR Seg X Large	624x624
Instance Segmentation	RF-DETR Seg 2X Large	768x768
Instance Segmentation	Roboflow 3.0 - Fast (Seg)	640×640
Instance Segmentation	Roboflow 3.0 - Accurate (Seg)	640×640
Instance Segmentation	Roboflow 3.0 - Medium (Seg)	640×640
Instance Segmentation	Roboflow 3.0 - Large (Seg)	640×640
Instance Segmentation	Roboflow 3.0 - Extra Large (Seg)	640×640
Instance Segmentation	YOLO-seg (v8/10/11/12)	640×640
Instance Segmentation	SAM3 (Segment Anything 3)	1008x1008
Instance Segmentation	Semantic segmentation (DeepLabV3+)	≥ 512×512

Classification & Pose

Model Type	Family & Size	Default Training Resolution
Classification & Pose	Resnet-18/34/50	224x224
Classification & Pose	YOLO-cls (v8/11)	224x224
Classification & Pose	Vision Transformer (ViT)	224x224
Classification & Pose	YOLO-pose (keypoints)	640x640

Multimodal/VLM

Model Type	Family & Size	Default Training Resolution
Multimodal/VLM	PaliGemma 2 - 3 B	448x448
Multimodal/VLM	PaliGemma 2 - 10 B/28 B	448x448
Multimodal/VLM	Florence-2	448x448
Multimodal/VLM	QWEN 2.5 VL	448x448
Multimodal/VLM	SmolVLM2	384x384