X-AnyLabeling Model Zoo

July 19, 2026 · View on GitHub

Classification

Name	Description	Configuration	Size	Link
pulc_person_attribute.onnx	PersonAttribute-PULC	pulc_person_attribute.yaml	6.59MB	baidu \| github
pulc_vehicle_attribute.onnx	VehicleAttribute-PULC	pulc_vehicle_attribute.yaml	6.55MB	baidu \| github
internimage_l_22kto1k_384.onnx	InternImage-Large	internimage_l_22kto1k_384.yaml	853.16MB	Baidu \| GitHub
yolov5s-cls.onnx	YOLOv5-Cls-ImageNet	yolov5s_cls.yaml	20.81MB	baidu \| github
yolov8s-cls.onnx	YOLOv8-Cls-ImageNet	yolov8s_cls.yaml	24.28MB	baidu \| github
yolo11s-cls.onnx	YOLO11-Cls-ImageNet	yolo11s_cls.yaml	25.67MB	baidu \| GitHub

Keypoint Detection

Facial Landmark Detection

Name	Description	Configuration	Size	Link
yolov6lite_l_face.onnx	Facial Landmark Detection	yolov6lite_l_face.yaml	4.16MB	baidu \| github
yolov6lite_m_face.onnx	Facial Landmark Detection	yolov6lite_m_face.yaml	3.00MB	baidu \| github
yolov6lite_s_face.onnx	Facial Landmark Detection	yolov6lite_s_face.yaml	2.10MB	baidu \| github
scrfd_10g_bnkps.onnx	SCRFD-Face Detection & Landmarks	scrfd_10g_bnkps.yaml	16.16MB	baidu \| github

Pose Estimation

Name	Description	Configuration	Size	Link
yolo26s-pose.onnx	YOLO26-COCO	yolo26s_pose.yaml	39.86MB	baidu \| github
yolo11s-pose.onnx	YOLO11-COCO	yolo11s_pose.yaml	38.09MB	baidu \| github
yolov8n-pose.onnx	YOLOv8-COCO	yolov8n_pose.yaml	12.75MB	baidu \| github
yolov8x-pose-p6.onnx	YOLOv8-COCO	yolov8x_pose_p6.yaml	378.92MB	baidu \| github
dw-ll_ucoco_384.onnx	DWPose(2D human whole-body pose estimation)	yolox_l_dwpose_ucoco.yaml	128.17MB	baidu \| github
yolox_l.onnx	YOLOX(2D human whole-body pose estimation)	yolox_l_dwpose_ucoco.yaml	206.71MB	baidu \| github
rtmo_m.onnx	RTMO（2D human whole-body pose estimation）	rtmdet_m_coco_person_rtmo_m.yaml	85.13MB	baidu \| github
rtmdet_m_640-8xb32_coco-person.onnx	RTMDet（2D human whole-body pose estimation）	rtmdet_m_640-8xb32_coco-person.onnx	104.25MB	baidu \| github

Lane Detection

Name	Description	Configuration	Size	Link
clrnet_tusimple_r18.onnx	CLRNet-Tusimple (CVPR2022)	clrnet_tusimple_r18.yaml	59.04MB	baidu \| github

Multi-Object Tracking

Name	Description	Configuration	Size	Link
yolov5s.onnx	YOLOv5s-Det-BoT-SORT	yolov5s_det_botsort.yaml	27.98MB	baidu \| github
yolov8s.onnx	YOLOv8s-Det-BoT-SORT	yolov8s_det_botsort.yaml	42.75MB	baidu \| github
yolov8n_obb_car_bus.onnx	YOLOv8n-Obb-BoT-SORT	yolov8n_obb_botsort.yaml	12.02MB	baidu \| github
yolov8m-seg.onnx	YOLOv8m-Seg-Bytetrack	yolov8m_seg_bytetrack.yaml	104.23MB	baidu \| github
yolov8x-pose-p6.onnx	YOLOv8x-Pose-P6-BoT-SORT	yolov8x_pose_p6_botsort.yaml	378.92MB	baidu \| github
yolo11s.onnx	YOLO11s-Det-BoT-SORT	yolo11s_det_botsort.yaml	36.27MB	baidu \| github
yolov11s_obb_car_bus.onnx	YOLO11s-OBB-BoT-SORT	yolo11s_obb_botsort.yaml	37.36MB	Baidu \| GitHub
yolo11s-seg.onnx	YOLO11s-Seg-BoT-SORT	yolo11s_seg_botsort.yaml	38.77MB	baidu \| github
yolo11s-pose.onnx	YOLO11s-Pose-BoT-SORT	yolo11s_pose_botsort.yaml	38.09MB	baidu \| github
yolo26s.onnx	YOLO26s-Det-TrackTrack	yolo26s_det_tracktrack.yaml	36.47MB	baidu \| github
yolo26s-seg.onnx	YOLO26s-Seg-TrackTrack	yolo26s_seg_tracktrack.yaml	39.91MB	baidu \| github
yolo26s-obb.onnx	YOLO26s-OBB-TrackTrack	yolo26s_obb_tracktrack.yaml	37.56MB	baidu \| github
yolo26s-pose.onnx	YOLO26s-Pose-TrackTrack	yolo26s_pose_tracktrack.yaml	39.86MB	baidu \| github

Object Detection

Horizontal Bounding Box

Name	Description	Configuration	Size	Link
yolo26s.onnx	YOLO26s-COCO	yolo26s.yaml	36.47MB	baidu \| github
yolo26s.engine	YOLO26s-COCO-TensorRT	yolo26s_trt.yaml	42.38MB	baidu \| github
yolo26s.onnx	YOLO26s with SAHI-COCO	yolo26s_sahi.yaml	36.47MB	baidu \| github
deimv2_hgnetv2_n_coco.onnx	DEIMv2-HGNetv2-N-COCO	deimv2_hgnetv2_n_coco.yaml	14.15MB	baidu \| github
deimv2_dinov3_s_coco.onnx	DEIMv2-DINOv3-S-COCO	deimv2_dinov3_s_coco.yaml	38.22MB	baidu \| github
deimv2_dinov3_m_coco.onnx	DEIMv2-DINOv3-M-COCO	deimv2_dinov3_m_coco.yaml	70.35MB	baidu \| github
dfine_s_obj2coco.onnx	D-FINE-S-COCO	dfine_s_obj2coco.yaml	39.80MB	baidu \| github
dfine_m_obj2coco.onnx	D-FINE-M-COCO	dfine_m_obj2coco.yaml	74.22MB	baidu \| github
dfine_l_obj2coco.onnx	D-FINE-L-COCO	dfine_l_obj2coco.yaml	118.35MB	baidu \| github
dfine_x_obj2coco.onnx	D-FINE-X-COCO	dfine_x_obj2coco.yaml	236.60MB	baidu \| github
rtdetr_l.onnx	Ultralytics RT-DETR-L	rtdetr_l.yaml	122.88MB	Baidu \| GitHub
rtdetr_x.onnx	Ultralytics RT-DETR-X	rtdetr_x.yaml	250.83MB	Baidu \| GitHub
rf-detr-nano.onnx	RF-DETR Nano	rfdetr_nano.yaml	109.98MB	百度网盘 \| github
rf-detr-small.onnx	RF-DETR Small	rfdetr_small.yaml	117.06MB	百度网盘 \| github
rf-detr-medium.onnx	RF-DETR Nano	rfdetr_medium.yaml	123.88MB	百度网盘 \| github
rf-detr-base-coco.onnx	RF-DETR Base COCO	rfdetr_base_coco.yaml	110.24MB	baidu \| github
rf-detr-base.onnx	RF-DETR Base	rfdetr_base.yaml	110.24MB	baidu \| github
rf-detr-large.onnx	RF-DETR Large	rfdetr_large.yaml	473.06MB	baidu \| github
upn_large.pth	UPN-Large	upn.yaml	834.23MB	baidu \| github
damoyolo_tinynasL20_T_420.onnx	DAMO-YOLO-COCO	damo_yolo_t.yaml	32.45MB	baidu \| github
damoyolo_tinynasL25_S_460.onnx	DAMO-YOLO-COCO	damo_yolo_s.yaml	62.09MB	baidu \| github
damoyolo_tinynasL35_M_492.onnx	DAMO-YOLO-COCO	damo_yolo_m.yaml	107.58MB	baidu \| github
damoyolo_tinynasL45_L_508.onnx	DAMO-YOLO-COCO	damo_yolo_l.yaml	160.52MB	baidu \| github
Gold_n_dist.onnx	Gold-YOLO-COCO	gold_yolo_n.yaml	23.58MB	baidu \| github
Gold_s_pre_dist.onnx	Gold-YOLO-COCO	gold_yolo_s.yaml	89.06MB	baidu \| github
Gold_m_pre_dist.onnx	Gold-YOLO-COCO	gold_yolo_m.yaml	169.88MB	baidu \| github
Gold_l_pre_dist.onnx	Gold-YOLO-COCO	gold_yolo_l.yaml	286.79MB	baidu \| github
rtdetr_r50vd_6x_coco.onnx	RT-DETR-COCO	rtdetr_r50.yaml	160.96MB	baidu \| github
rtdetrv2_r101vd_6x_coco.onnx	RT-DETRv2-X-COCO	rtdetrv2x.yaml	286.48MB	baidu \| github
rtdetrv2_r50vd_6x_coco.onnx	RT-DETRv2-L-COCO	rtdetrv2l.yaml	161.38MB	baidu \| github
rtdetrv2_r50vd_m_7x_coco.onnx	RT-DETRv2-M*-COCO	rtdetrv2m7x.yaml	126.52MB	baidu \| github
rtdetrv2_r34vd_120e_coco.onnx	RT-DETRv2-M-COCO	rtdetrv2m.yaml	119.73MB	baidu \| github
rtdetrv2_r18vd_120e_coco.onnx	RT-DETRv2-S-COCO	rtdetrv2s.yaml	76.80MB	baidu \| github
yolo_nas_l.onnx	YOLO-NAS-COCO	yolo_nas_l.yaml	160.38MB	baidu \| github
yolo_nas_m.onnx	YOLO-NAS-COCO	yolo_nas_m.yaml	121.87MB	baidu \| github
yolo_nas_s.onnx	YOLO-NAS-COCO	yolo_nas_s.yaml	46.62MB	baidu \| github
yolov5x.onnx	YOLOv5-COCO	yolov5x.yaml	331.19MB	baidu \| github
yolov5l.onnx	YOLOv5-COCO	yolov5l.yaml	177.94MB	baidu \| github
yolov5m.onnx	YOLOv5-COCO	yolov5m.yaml	81.19MB	baidu \| github
yolov5s.onnx	YOLOv5-COCO	yolov5s.yaml	27.98MB	baidu \| github
yolov5n.onnx	YOLOv5-COCO	yolov5n.yaml	7.54MB	baidu \| github
yolov6x_mbla.onnx	YOLOv6-COCO	yolov6x_mbla.yaml	300.95MB	baidu \| github
yolov6l_mbla.onnx	YOLOv6-COCO	yolov6l_mbla.yaml	176.72MB	baidu \| github
yolov6m_mbla.onnx	YOLOv6-COCO	yolov6m_mbla.yaml	99.61MB	baidu \| github
yolov6s_mbla.onnx	YOLOv6-COCO	yolov6s_mbla.yaml	44.49MB	baidu \| github
yolov6s.onnx	YOLOv6-COCO	yolov6s.yaml	70.88MB	baidu \| github
yolov6s6.onnx	YOLOv6-COCO	yolov6s6.yaml	158.47MB	baidu \| github
yolov7.onnx	YOLOv7-COCO	yolov7.yaml	140.90MB	baidu \| github
yolov8x.onnx	YOLOv8-COCO	yolov8x.yaml	260.37MB	baidu \| github
yolov8l.onnx	YOLOv8-COCO	yolov8l.yaml	166.79MB	baidu \| github
yolov8m.onnx	YOLOv8-COCO	yolov8m.yaml	98.94MB	baidu \| github
yolov8s.onnx	YOLOv8-COCO	yolov8s.yaml	42.75MB	baidu \| github
yolov8n.onnx	YOLOv8-COCO	yolov8n.yaml	12.21MB	baidu \| github
yolov8s.onnx	YOLOv8 with SAHI-COCO	yolov8s_sahi.yaml	42.75MB	baidu \| github
yolov8x6-oiv7.onnx	YOLOv8-Open Image V7	yolov8x6_oiv7.yaml	374.51MB	baidu \| github
yolov8x-oiv7.onnx	YOLOv8-Open Image V7	yolov8x_oiv7.yaml	262.24MB	baidu \| github
yolov8l-oiv7.onnx	YOLOv8-Open Image V7	yolov8l_oiv7.yaml	168.28MB	baidu \| github
yolov8m-oiv7.onnx	YOLOv8-Open Image V7	yolov8m_oiv7.yaml	100.05MB	baidu \| github
yolov8s-oiv7.onnx	YOLOv8-Open Image V7	yolov8s_oiv7.yaml	43.47MB	baidu \| github
yolov8n-oiv7.onnx	YOLOv8-Open Image V7	yolov8n_oiv7.yaml	13.47MB	baidu \| github
yolov9c.onnx	YOLOv9-COCO	yolov9c.yaml	195.34MB	baidu \| github
yolov9e.onnx	YOLOv9-COCO	yolov9e.yaml	265.43MB	baidu \| github
gelan-c.onnx	YOLOv9-COCO	gelan-c.yaml	97.43MB	baidu \| github
gelan-e.onnx	YOLOv9-COCO	gelan-e.yaml	221.94MB	baidu \| github
yolov10n.onnx	YOLOv10-COCO	yolov10n.yaml	8.98MB	baidu \| github
yolov10s.onnx	YOLOv10-COCO	yolov10s.yaml	27.86MB	baidu \| github
yolov10m.onnx	YOLOv10-COCO	yolov10m.yaml	58.81MB	baidu \| github
yolov10b.onnx	YOLOv10-COCO	yolov10b.yaml	72.95MB	baidu \| github
yolov10l.onnx	YOLOv10-COCO	yolov10l.yaml	93.20MB	baidu \| github
yolov10x.onnx	YOLOv10-COCO	yolov10x.yaml	112.68MB	baidu \| github
yolo11s.onnx	YOLO11-COCO	yolo11s.yaml	36.27MB	baidu \| github
yolo11s.onnx	YOLO11 with SAHI-COCO	yolo11s_sahi.yaml	36.27MB	baidu \| github
yolo12n.onnx	YOLO12-COCO	yolo12n.yaml	10.13MB	baidu \| github
yolo12s.onnx	YOLO12-COCO	yolo12s.yaml	35.57MB	baidu \| github
yolo12m.onnx	YOLO12-COCO	yolo12m.yaml	77.18MB	baidu \| github
yolo12l.onnx	YOLO12-COCO	yolo12l.yaml	101.02MB	baidu \| github
yolo12x.onnx	YOLO12-COCO	yolo12x.yaml	225.89MB	baidu \| github
hyper-yolot.onnx	Hpyer-YOLO-COCO	hyper-yolot.yaml	12.19MB	baidu \| github
hyper-yolon.onnx	Hpyer-YOLO-COCO	hyper-yolon.yaml	15.80MB	baidu \| github
hyper-yolos.onnx	Hpyer-YOLO-COCO	hyper-yolos.yaml	56.83MB	baidu \| github
hyper-yolom.onnx	Hpyer-YOLO-COCO	hyper-yolom.yaml	127.56MB	baidu \| github
hyper-yolol.onnx	Hpyer-YOLO-COCO	hyper-yolol.yaml	215.12MB	baidu \| github

Oriented Bounding Box

Name	Description	Configuration	Size	Link
yolov5n_obb_drone_vehicle.onnx	YOLOv5-OBB-DroneVehicle	yolov5n_obb_drone_vehicle.yaml	8.39MB	baidu \| github
yolov5s_obb_csl_dotav10.onnx	YOLOv5-OBB-DOTA-v1.0	yolov5s_obb_csl_dotav10.yaml	29.77MB	baidu \| github
yolov5m_obb_csl_dotav15.onnx	YOLOv5-OBB-DOTA-v1.5	yolov5m_obb_csl_dotav15.yaml	83.59MB	baidu \| github
yolov5m_obb_csl_dotav20.onnx	YOLOv5-OBB-DOTA-v2.0	yolov5m_obb_csl_dotav20.yaml	83.62MB	baidu \| github
yolov8s-obb.onnx	YOLOv8-OBB-DOTA-v1.0	yolov8s_obb.yaml	43.84MB	baidu \| github
yolo11s-obb.onnx	YOLO11s-Obb-DOTA-v1.0	yolo11s_obb.yaml	37.36MB	baidu \| github
yolo26s-obb.onnx	YOLO26s-Obb-DOTA-v1.0	yolo26s_obb.yaml	37.56MB	baidu \| github

Optical Character Recognition

Name	Description	Configuration	Size	Link
doclayout_yolo_docstructbench_imgsz1024.onnx	DocLayout-YOLO	doclayout_yolo.yaml	72.22MB	baidu \| github
ppocrv5_mobile_det_infer.onnx	Ultra-lightweight PPOCR-v5 detection model	ch_chinese_cht_en_japan_ppocr_v5.yaml	4.55MB	baidu \| github
ppocrv5_mobile_rec_infer.onnx	Ultra-lightweight PPOCR-v5 recognition model supporting Simplified Chinese, Chinese Pinyin, Traditional Chinese, English, and Japanese	ch_chinese_cht_en_japan_ppocr_v5.yaml	15.76MB	baidu \| github
ppocrv6_tiny_det_infer.onnx	PP-OCRv6 Tiny detection model	ch_chinese_cht_en_japan_ppocr_v6_tiny.yaml	1.70MB	baidu \| github
ppocrv6_tiny_rec_infer.onnx	PP-OCRv6 Tiny recognition model supporting Simplified Chinese, Chinese Pinyin, Traditional Chinese, English, and Japanese	ch_chinese_cht_en_japan_ppocr_v6_tiny.yaml	4.26MB	baidu \| github
ppocrv6_small_det_infer.onnx	PP-OCRv6 Small detection model	ch_chinese_cht_en_japan_ppocr_v6_small.yaml	9.42MB	baidu \| github
ppocrv6_small_rec_infer.onnx	PP-OCRv6 Small recognition model supporting Simplified Chinese, Chinese Pinyin, Traditional Chinese, English, and Japanese	ch_chinese_cht_en_japan_ppocr_v6_small.yaml	20.18MB	baidu \| github
ppocrv6_medium_det_infer.onnx	PP-OCRv6 Medium detection model	ch_chinese_cht_en_japan_ppocr_v6_medium.yaml	59.16MB	baidu \| github
ppocrv6_medium_rec_infer.onnx	PP-OCRv6 Medium recognition model supporting Simplified Chinese, Chinese Pinyin, Traditional Chinese, English, and Japanese	ch_chinese_cht_en_japan_ppocr_v6_medium.yaml	73.01MB	baidu \| github
ch_ppocr_mobile_v2.0_cls_infer.onnx	Classifier model, classifying the detected text line angles	ch_chinese_cht_en_japan_ppocr_v5.yaml	569KB	baidu \| github
ch_PP-OCRv4_det_infer.onnx	Ultra-lightweight PPOCR-v4 detection model	ch_ppocr_v4.yaml	4.53MB	baidu \| github
ch_PP-OCRv4_rec_infer.onnx	Ultra-lightweight PPOCR-v5 recognition model supporting Chinese, English, and digits	ch_ppocr_v4.yaml	10.33MB	baidu \| github
ch_ppocr_mobile_v2.0_cls_infer.onnx	Classifier model, classifying the detected text line angles	ch_ppocr_v4.yaml	569KB	baidu \| github
ch_PP-OCRv4_det_infer.onnx	Ultra-lightweight PPOCR-v4 detection model	japan_ppocr.yaml	4.53MB	baidu \| github
japan_PP-OCRv3_rec_infer.onnx	Lightweight model for Japanese recognition model	japan_ppocr.yaml	9.62MB	baidu \| github
ch_ppocr_mobile_v2.0_cls_infer.onnx	Classifier model, classifying the detected text line angles	japan_ppocr.yaml	569KB	baidu \| github

Segment Anything Models

General Scenario

Name	Description	Configuration	Size	Link
sam3_image_encoder.onnx	SAM3 ViT-H image encoder	sam3_vit_h.yaml	2.39MB	baidu \| github
sam3_image_encoder.onnx.data	SAM3 ViT-H image encoder data	sam3_vit_h.yaml	1.70GB	baidu \| github
sam3_language_encoder.onnx	SAM3 ViT-H language encoder	sam3_vit_h.yaml	1.33MB	baidu \| github
sam3_language_encoder.onnx.data	SAM3 ViT-H language encoder data	sam3_vit_h.yaml	1.50GB	baidu \| github
sam3_decoder.onnx	SAM3 ViT-H decoder	sam3_vit_h.yaml	123.84MB	baidu \| github
sam3_decoder.onnx.data	SAM3 ViT-H decoder data	sam3_vit_h.yaml	111.13MB	baidu \| github
sam2.1_hiera_tiny.encoder.onnx	SAM2	sam2_hiera_tiny.yaml	128.04MB	baidu \| github
sam2.1_hiera_tiny.decoder.onnx	SAM2	sam2_hiera_tiny.yaml	19.68MB	baidu \| github
sam2.1_hiera_small.encoder.onnx	SAM2	sam2_hiera_small.yaml	155.17MB	baidu \| github
sam2.1_hiera_small.decoder.onnx	SAM2	sam2_hiera_small.yaml	19.68MB	baidu \| github
sam2.1_hiera_base_plus.encoder.onnx	SAM2	sam2_hiera_base.yaml	324.04MB	baidu \| github
sam2.1_hiera_base_plus.decoder.onnx	SAM2	sam2_hiera_base.yaml	19.68MB	baidu \| github
sam2.1_hiera_large.encoder.onnx	SAM2	sam2_hiera_large.yaml	848.16MB	baidu \| github
sam2.1_hiera_large.decoder.onnx	SAM2	sam2_hiera_large.yaml	19.68MB	baidu \| github
edge_sam_encoder.onnx	EdgeSAM	edge_sam.yaml	21.02MB	baidu \| github
edge_sam_decoder.onnx	EdgeSAM	edge_sam.yaml	17.78MB	baidu \| github
sam_vit_b_01ec64.encoder.onnx	SAM ViT-base encoder	segment_anything_vit_b.yaml	342.58MB	baidu \| github
sam_vit_b_01ec64.decoder.onnx	SAM ViT-base decoder	segment_anything_vit_b.yaml	15.74MB	baidu \| github
sam_vit_b_01ec64.encoder.quant.onnx	SAM ViT-base encoder(Quantized)	segment_anything_vit_b_quant.yaml	103.78MB	baidu \| github
sam_vit_b_01ec64.decoder.quant.onnx	SAM ViT-base decoder(Quantized)	segment_anything_vit_b_quant.yaml	8.34MB	baidu \| github
sam_vit_l_0b3195.encoder.onnx	SAM ViT-large encoder	segment_anything_vit_l.yaml	1.15GB	baidu \| github
sam_vit_l_0b3195.decoder.onnx	SAM ViT-large decoder	segment_anything_vit_l.yaml	15.74MB	baidu \| github
sam_vit_l_0b3195.encoder.quant.onnx	SAM ViT-large encoder(Quantized)	segment_anything_vit_l_quant.yaml	317.18MB	baidu \| github
sam_vit_l_0b3195.decoder.quant.onnx	SAM ViT-large decoder(Quantized)	segment_anything_vit_l_quant.yaml	8.34MB	baidu \| github
mobile_sam.encoder.onnx	MobileSAM encoder	mobile_sam_vit_h.yaml	26.85MB	baidu \| github
sam_vit_h_4b8939.decoder.quant.onnx	MobileSAM decoder	mobile_sam_vit_h.yaml	8.34MB	baidu \| github
sam_vit_h_4b8939.encoder.quant.onnx	SAM ViT-huge encoder(Quantized)	segment_anything_vit_h_quant.yaml	626.40MB	baidu \| github
sam_vit_h_4b8939.decoder.quant.onnx	SAM ViT-huge decoder(Quantized)	segment_anything_vit_h_quant.yaml	8.34MB	baidu \| github
efficientvit_sam_l0_vit_h.encoder.onnx	EfficientViT-SAM ViT-huge encoder	efficientvit_sam_l0_vit_h.yaml	117.25MB	baidu \| github
efficientvit_sam_l0_vit_h.decoder.onnx	EfficientViT-SAM ViT-huge decoder	efficientvit_sam_l0_vit_h.yaml	15.63MB	baidu \| github
efficientvit_sam_l1_vit_h.encoder.onnx	EfficientViT-SAM ViT-huge encoder	efficientvit_sam_l1_vit_h.yaml	166.31MB	baidu \| github
efficientvit_sam_l1_vit_h.decoder.onnx	EfficientViT-SAM ViT-huge decoder	efficientvit_sam_l1_vit_h.yaml	15.63MB	baidu \| github
sam_hq_vit_b_encoder.onnx	HQ-SAM ViT-base encoder	sam_hq_vit_b.yaml	342.37MB	baidu \| github
sam_hq_vit_b_decoder.onnx	HQ-SAM ViT-base decoder	sam_hq_vit_b.yaml	19.74MB	baidu \| github
sam_hq_vit_l_encoder.onnx	HQ-SAM ViT-large encoder	sam_hq_vit_l.yaml	1.15GB	baidu \| github
sam_hq_vit_l_decoder.onnx	HQ-SAM ViT-large decoder	sam_hq_vit_l.yaml	20.74MB	baidu \| github
sam_hq_vit_l_encoder_quant.onnx	HQ-SAM ViT-large encoder(Quantized)	sam_hq_vit_l_quant.yaml	307.96MB	baidu \| github
sam_hq_vit_l_decoder	HQ-SAM ViT-large decoder	sam_hq_vit_l_quant.yaml	20.74MB	baidu \| github
sam_hq_vit_h_encoder_quant.onnx	HQ-SAM ViT-huge encoder(Quantized)	sam_hq_vit_h_quant.yaml	625.55MB	baidu \| github
sam_hq_vit_h_decoder	HQ-SAM ViT-huge decoder	sam_hq_vit_h_quant.yaml	21.74MB	baidu \| github

Medical Scenario

Name	Description	Configuration	Size	Link
sam-med2d_b.encoder.onnx	SAM-Med2D ViT-base encoder	sam_med2d_vit_b.yaml	1019.49MB	baidu \| github
sam-med2d_b.decoder.onnx	SAM-Med2D ViT-base decoder	sam_med2d_vit_b.yaml	15.60MB	baidu \| github

See the Segment Anything 3 guide for both local ONNX and server-side usage.

Segmentation

Name	Description	Configuration	Size	Link
rf-detr-seg-preview.onnx	RF-DETR Seg-Preview	rfdetr_seg_preview.yaml	122.18MB	baidu \| github
yolov5s-seg.onnx	YOLOv5-COCO	yolov5s_seg.yaml	29.45MB	baidu \| github
yolov8x-seg.onnx	YOLOv8-COCO	yolov8x_seg.yaml	274.10MB	baidu \| github
yolov8l-seg.onnx	YOLOv8-COCO	yolov8l_seg.yaml	175.59MB	baidu \| github
yolov8m-seg.onnx	YOLOv8-COCO	yolov8m_seg.yaml	104.23MB	baidu \| github
yolov8s-seg.onnx	YOLOv8-COCO	yolov8s_seg.yaml	45.25MB	baidu \| github
yolov8n-seg.onnx	YOLOv8-COCO	yolov8n_seg.yaml	13.18MB	baidu \| github
yolo11s-seg.onnx	YOLO11-COCO	yolo11s_seg.yaml	38.77MB	baidu \| github
hyper-yolon-seg.onnx	Hpyer-YOLO-COCO	hyper-yolon-seg.yaml	16.77MB	baidu \| github
hyper-yolos-seg.onnx	Hpyer-YOLO-COCO	hyper-yolos-seg.yaml	59.34MB	baidu \| github
hyper-yolom-seg.onnx	Hpyer-YOLO-COCO	hyper-yolom-seg.yaml	132.85MB	baidu \| github
yolo26s-seg.onnx	YOLO26s-Seg-COCO	yolo26s_seg.yaml	39.91MB	Baidu \| GitHub

Image Matting

Name	Description	Configuration	Size	Link
bria-rmbg-2.0.onnx	RMBG v2.0 (BRIA AI)	rmbg_v20.yaml	976.88MB	baidu \| github
bria-rmbg-2.0-quant.onnx	RMBG v2.0 Quantized (BRIA AI)	rmbg_v20_quant.yaml	349.13MB	baidu \| github
bria-rmbg-1.4.onnx	RMBG v1.4 (BRIA AI)	rmbg_v14.yaml	167.99MB	baidu \| github

Combined Models

Name	Description	Configuration	Size	Link
yolov8s.onnx	YOLOv8-SAM2.1	yolov8s_sam2_hiera_base.yaml	42.75MB	baidu \| github
sam2.1_hiera_base_plus.encoder.onnx	YOLOv8-SAM2.1	yolov8s_sam2_hiera_base.yaml	324.04MB	baidu \| github
sam2.1_hiera_base_plus.decoder.onnx	YOLOv8-SAM2.1	yolov8s_sam2_hiera_base.yaml	19.68MB	baidu \| github
resnet50.onnx	ResNet50-ImageNet	yolov5s_resnet50.yaml	97.42MB	baidu \| github
yolov5s.onnx	YOLOv5-COCO	yolov5s_resnet50.yaml	27.98MB	baidu \| github
mobile_sam.encoder.onnx	MobileSAM encoder(YOLOv5-SAM)	yolov5s_mobile_sam_vit_h.yaml	26.85MB	baidu \| github
sam_vit_h_4b8939.decoder.quant.onnx	MobileSAM decoder(YOLOv5-SAM)	yolov5s_mobile_sam_vit_h.yaml	8.34MB	baidu \| github
yolov5s.onnx	YOLOv5-COCO(YOLOv5-SAM)	yolov5s_mobile_sam_vit_h.yaml	27.98MB	baidu \| github
yolov5m.onnx	YOLOv5-RAM	yolov5m_ram.yaml	81.19MB	baidu \| github
ram_swin_large_14m.onnx	YOLOv5-RAM	yolov5m_ram.yaml	865.66MB	baidu \| github
edge_sam_encoder.onnx	EdgeSAM-CN-CLIP ViT-B-16	edge_sam_with_chinese_clip.yaml	21.02MB	baidu \| github
edge_sam_decoder.onnx	EdgeSAM-CN-CLIP ViT-B-16	edge_sam_with_chinese_clip.yaml	17.78MB	baidu \| github
vit-b-16.img.fp16.onnx	EdgeSAM-CN-CLIP ViT-B-16	edge_sam_with_chinese_clip.yaml	3.51MB	baidu \| github
vit-b-16.txt.fp16.onnx	EdgeSAM-CN-CLIP ViT-B-16	edge_sam_with_chinese_clip.yaml	2.15MB	baidu \| github
vit-b-16.img.fp16.onnx.extra_file	EdgeSAM-CN-CLIP ViT-B-16	edge_sam_with_chinese_clip.yaml	164.40MB	baidu \| github
vit-b-16.txt.fp16.onnx.extra_file	EdgeSAM-CN-CLIP ViT-B-16	edge_sam_with_chinese_clip.yaml	194.68MB	baidu \| github
groundingdino_swint_ogc_quant.onnx	GroundingSAM-SwinB with HQ-SAM-VitL-QInt8	groundingdino_swinb_attn_fuse_sam_hq_vit_l_quant.yaml	964.04MB	baidu \| github
sam_hq_vit_l_encoder_quant.onnx	GroundingSAM-SwinB with HQ-SAM-VitL-QInt8	groundingdino_swinb_attn_fuse_sam_hq_vit_l_quant.yaml	307.96MB	baidu \| github
sam_hq_vit_l_decoder	GroundingSAM-SwinB with HQ-SAM-VitL-QInt8	groundingdino_swinb_attn_fuse_sam_hq_vit_l_quant.yaml	20.74MB	baidu \| github
sam2.1_hiera_large.encoder.onnx	GroundingSAM2	groundingdino_swint_sam2_large.yaml	848.16MB	baidu \| github
sam2.1_hiera_large.decoder.onnx	GroundingSAM2	groundingdino_swint_sam2_large.yaml	19.68MB	baidu \| github
groundingdino_swint_ogc_quant.onnx	GroundingSAM2	groundingdino_swint_sam2_large.yaml	171.28MB	baidu \| github

Open-Vocabulary Grounding

Name	Description	Configuration	Size	Link
yoloe-v8l-seg.pt	YOLOE-v8-L	yoloe_v8l.yaml	102.43MB	baidu \| github \| huggingface \| modelscope
yoloe-v8l-seg-pf.pt	YOLOE-v8-L	yoloe_v8l.yaml	98.66MB	baidu \| github \| huggingface \| modelscope
mobileclip_blt.pt	YOLOE-v8-L	yoloe_v8l.yaml	571.46MB	baidu \| github \| official \| modelscope
yoloe-11s-seg.pt	YOLOE-11-S	yoloe_11s.yaml	26.52MB	baidu \| github \| huggingface \| modelscope
yoloe-11s-seg-pf.pt	YOLOE-11-S	yoloe_11s.yaml	23.12MB	baidu \| github \| huggingface \| modelscope
mobileclip_blt.pt	YOLOE-11-S	yoloe_11s.yaml	571.46MB	baidu \| github \| official \| modelscope
yolov8x-worldv2.onnx	YOLOv8-COCO	yolov8x_worldv2.yaml	276.38MB	baidu \| github
yolov8l-worldv2-cc3m.onnx	YOLOv8-CC3M	yolov8l_worldv2_cc3m.yaml	177.39MB	baidu \| github
yolov8l-worldv2.onnx	YOLOv8-COCO	yolov8l_worldv2.yaml	177.39MB	baidu \| github
yolov8m-worldv2.onnx	YOLOv8-COCO	yolov8m_worldv2.yaml	107.21MB	baidu \| github
yolov8s-worldv2.onnx	YOLOv8-COCO	yolov8s_worldv2.yaml	47.97MB	baidu \| github
groundingdino_swint_ogc_quant.onnx	GroundingDINO	groundingdino_swint_ogc_quant.yaml	171.28MB	baidu \| github
groundingdino_swinb_cogcoor_quant.onnx	GroundingDINO	groundingdino_swinb_cogcoor_quant.yaml	258.90MB	baidu \| github
ram_swin_large_14m.onnx	Recognize Anything	ram_swin_large_14m.yaml	865.66MB	baidu \| github
ram_plus_swin_large_14m.onnx	Recognize Anything Pluse	ram_plus_swin_large_14m.yaml	1.74GB	baidu \| github

Depth Estimation

Name	Description	Configuration	Size	Link
depth_anything_vits14.onnx	DepthAnything	depth_anything_vit_s.yaml	94.48MB	baidu \| github
depth_anything_vitb14.onnx	DepthAnything	depth_anything_vit_b.yaml	370.91MB	baidu \| github
depth_anything_vitl14.onnx	DepthAnything	depth_anything_vit_l.yaml	1.25GB	baidu \| github
depth_anything_v2_vits.onnx	DepthAnythingV2	depth_anything_v2_vit_s.yaml	94.77MB	baidu \| github
depth_anything_v2_vitb.onnx	DepthAnythingV2	depth_anything_v2_vit_b.yaml	371.20MB	baidu \| github
depth_anything_v2_vitl.onnx	DepthAnythingV2	depth_anything_v2_vit_l.yaml	1.25GB	baidu \| github

Interactive Video Object Segmentation

Name	Description	Configuration	Size	Link
sam2_hiera_tiny.pt	SAM 2	sam2_hiera_tiny_video.yaml	148.68MB	baidu \| github
sam2_hiera_small.pt	SAM 2	sam2_hiera_small_video.yaml	175.77MB	baidu \| github
sam2_hiera_base_plus.pt	SAM 2	sam2_hiera_base_video.yaml	308.51MB	baidu \| github
sam2_hiera_large.pt	SAM 2	sam2_hiera_large_video.yaml	856.35MB	baidu \| github

For server-side SAM 3 video tracking, see the Segment Anything 3 Video guide.

Zero-Shot Counting by Detection and Segmentation

Name	Description	Configuration	Size	Link
GeCo_encoder_data.bin	GeCo	geco_sam_hq_vit_h.yaml	2.38GB	Baidu
GeCo_encoder.onnx	GeCo	geco_sam_hq_vit_h.yaml	16.78MB	baidu \| github
GeCo_decoder.onnx	GeCo	geco_sam_hq_vit_h.yaml	16.83MB	baidu \| github
GeCo_encoder_quant.onnx	GeCo	geco_sam_hq_vit_h.yaml	646.48MB	Baidu

Extended Models and Services

This section lists models that require additional runtimes, standalone inference services, or cloud APIs. See the linked documentation for setup and usage.