Open-weight model
vision-detection-models
by Arjun sourcesoft ArjunSharmaSSS/vision-detection-models
vision-detection-models is an open-weight model from Arjun sourcesoft. Its published files total 12.8 GB.
Parameters—
Context—
Weights12.2 GB
License—
AccessOpen weights
Monthly Downloads—
Model Card
The publisher has not written a card for this model.
Identity and Version
- Repository
- ArjunSharmaSSS/vision-detection-models
- Publisher
- Arjun sourcesoft
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- 76eba77f53321dcd2831e194fb5cef1eaec8e5b4
- First published
- 2026-05-13
- Last updated
- 2026-09-20
Files and Weights
160 files, 12.8 GB in total. The weights are 149 files totalling 12.2 GB in onnx, pt, pth, safetensors.
Weights149 files · 12.2 GB
Configuration1 file · 52.0 KB
Other9 files · 620.4 MB
Repository1 file · 2.1 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| adaface_ir50_webface4m.onnx | Weights | 80.4 KB | 47e177ffa89c |
| animal_detection_best.pt | Weights | 87.7 MB | daffe6bb6fcc |
| animal_detection_yolo11x.pt | Weights | 114.6 MB | 7bc158aa95c0 |
| box_counter_box_count_26x_v5.pt | Weights | 118.3 MB | c0006aaf4054 |
| box_counter_truck_26x.pt | Weights | 118.3 MB | b5a16fe5b2c8 |
| box_counter_truck_26x_v1_bkp.pt | Weights | 118.3 MB | fd0672606d6f |
| box_det.pt | Weights | 262.2 MB | 12482c49fa4a |
| cardoor_detection_best.pt | Weights | 136.7 MB | 1e622db632d5 |
| cashier_theft_1_cash_detector.pt | Weights | 136.7 MB | 27d6ab94a0fc |
| cashier_theft_1_drawer_detector.pt | Weights | 87.6 MB | 02a6af65c1e4 |
| cashier_theft_1_person_tracker.pt | Weights | 87.8 MB | 64c9115303f6 |
| cashier_theft_1_rtmw_x_256x192.onnx | Weights | 228.7 MB | 9a9bc17c13ff |
| cashier_theft_1_x3d_theft_14_sep_evening_epoch_30.pt | Weights | 63.8 MB | 5a836aa3ad1f |
| cashier_theft_1_x3d_theft_4_sep.pt | Weights | 63.7 MB | f4fe7f4cab0c |
| cashier_theft_detection_drawer_detector.pt | Weights | 136.7 MB | cd1c4f2d5740 |
| cashier_theft_detection_person_tracker.pt | Weights | 87.8 MB | 64c9115303f6 |
| cashier_theft_detection_rtmw_x_256x192.onnx | Weights | 228.7 MB | 9a9bc17c13ff |
| cashier_theft_detection_stgcn_theft.pt | Weights | 8.0 MB | acaf3a563c15 |
| cheating_detection_yolo11n_pose.pt | Weights | 6.3 MB | 869e83fcdffd |
| crowd_detection_jewllers_best.pt | Weights | 87.6 MB | d1b7971ac14e |
| crowd_detection_yolov8l.pt | Weights | 87.8 MB | 64c9115303f6 |
| customer_compliance_yolo11m.pt | Weights | 40.7 MB | d5ffc1a67495 |
| customer_compliance_yolo11x.pt | Weights | 114.6 MB | 7bc158aa95c0 |
| customer_count_best_backingo_latest.pt | Weights | 136.7 MB | 2e269cb81102 |
| customer_count_best_bakingo.pt | Weights | 136.7 MB | 0d5931ff42fa |
| demographic_analysis_best.pt | Weights | 6.5 MB | f59b3d833e2f |
| demographic_analysis_yunet_face.onnx | Weights | 232.6 KB | 8f2383e4dd3c |
| demographic_analysisv1_fairface_eva02L_ema_fp32.pt | Weights | 1.2 GB | 5d7a4ee27933 |
| demographic_analysisv1_mivolo_v2_model.safetensors | Weights | 115.1 MB | 96efb47051c0 |
| det_10g.onnx | Weights | 16.9 MB | 5838f7fe0536 |
| det_2.5g.onnx | Weights | 3.3 MB | 041f73f47371 |
| det_500m.onnx | Weights | 2.5 MB | 5e4447f50245 |
| drawer_open_best.pt | Weights | 136.7 MB | c97042e51c49 |
| dustbin_yolo11s_best.pt | Weights | 19.2 MB | c39542e09bbc |
| dustbin_yolov8l_oiv7.pt | Weights | 88.6 MB | 7cb0716bb760 |
| dustbin_yolov8l_oiv7_bak.pt | Weights | 88.6 MB | 7cb0716bb760 |
| facemask_detection_best.pt | Weights | 6.2 MB | 70ef100b9406 |
| fall_detection_best.pt | Weights | 6.2 MB | 3e0b747c4014 |
| fight_detection_v2_fasterrcnn_mobilenet_v3_large_320_fpn.pth | Weights | 77.8 MB | 907ea3f91ff9 |
| fight_detection_v2_x3d_fight.pt | Weights | 12.3 MB | 5721b63df375 |
| fight_detection_v3_fasterrcnn_mobilenet_v3_large_320_fpn.pth | Weights | 77.8 MB | 907ea3f91ff9 |
| fight_detection_v3_fight_model_3.pt | Weights | 125.4 MB | d48bb810483a |
| fireDetector.pt | Weights | 136.7 MB | 41db25d22c7a |
| fire_detection_v1_best.pt | Weights | 20.3 MB | 283c996482e2 |
| fire_detection_v1_firedet.pt | Weights | 19.2 MB | 3009bc8cdc81 |
| fire_detection_v1_salah.pt | Weights | 20.3 MB | 52684ddffd47 |
| fire_grematterz.pt | Weights | 546.0 MB | 015410309226 |
| foot_fall_yolov8l.pt | Weights | 87.8 MB | 64c9115303f6 |
| foot_fall_yolov8m.pt | Weights | 52.1 MB | 5d4a90cdc7a2 |
| foot_fall_yolov8x.pt | Weights | 136.9 MB | 3df4ada6b4da |
| fryer_monitor_fryer_seg.pt | Weights | 45.2 MB | 1b96b4013008 |
| glove_detection_best.pt | Weights | 87.7 MB | a8a2fbabe274 |
| guard_presence_yolo26x_guard_uniform_v2.pt | Weights | 118.3 MB | 10ded21956f8 |
| guard_presence_yolo26x_guard_uniform_v3.pt | Weights | 118.3 MB | 087253f6bbc2 |
| hairnet_detection_best.pt | Weights | 40.8 MB | 8dd714761fa6 |
| hairnet_detection_yolo11m_v4_best.pt | Weights | 40.5 MB | 88cdaf26f379 |
| hairnet_detection_yolo11m_v7_best.pt | Weights | 40.5 MB | 97703fa1049f |
| hairnet_detection_yolo11m_v8_best.pt | Weights | 40.5 MB | 8222e7804b85 |
| hairnet_detection_yolo11m_v9_best.pt | Weights | 40.5 MB | c8d94cdf88ff |
| hat_detection_best.pt | Weights | 40.8 MB | 6b5c589f9561 |
| heat_map_yolov8m.pt | Weights | 52.1 MB | 5d4a90cdc7a2 |
| i3d_fight.pt | Weights | 49.3 MB | 09220b07a574 |
| jacket_detection_best.pt | Weights | 87.7 MB | 07603d2b63c4 |
| jacket_detection_best3.pt | Weights | 92.3 MB | 883a63017825 |
| jewellery_box_counting_presentation_detector.pt | Weights | 23.9 MB | 15d7f97b895c |
| jewellery_box_counting_presentation_detector_bkp.pt | Weights | 23.9 MB | 59bf39f838e0 |
| konark_materials_best.pt | Weights | 87.6 MB | 9f07369376e7 |
| konark_materials_best2.pt | Weights | 87.6 MB | e1455ecfde2b |
| konark_materials_best3.pt | Weights | 87.6 MB | 348dc4a6e19b |
| konark_materials_best4.pt | Weights | 87.6 MB | 6cd37c17bd14 |
| konark_materials_best_bak.pt | Weights | 87.6 MB | aa0e243a2eef |
| konark_materials_best_bak1.pt | Weights | 87.6 MB | fda2fee93753 |
| konark_materials_best_bak2.pt | Weights | 87.6 MB | 9f07369376e7 |
| laali_dress_frcnn.pt | Weights | 173.4 MB | f46bd3c494ba |
| laali_dress_yolo26x.pt | Weights | 118.3 MB | 0fe7f8b18486 |
| largeplatedetector.pt | Weights | 87.7 MB | 22ea80f3163b |
| license_detection_char_correction.pth | Weights | 9.1 MB | 812586f21187 |
| maxplate.pt | Weights | 262.2 MB | d06b2b7a5476 |
| microwave_door.pt | Weights | 54.8 MB | 9c0c458bc051 |
| models_room_best.pt | Weights | 342.0 MB | fc4775e96d91 |
| object_detection_yolo12n.pt | Weights | 5.6 MB | 419ff3dca37d |
| object_detection_yolo12x.pt | Weights | 119.3 MB | 682ce8dadee0 |
| osnet_x0_25_msmt17.pt | Weights | 3.1 MB | 6f57607fed9f |
| pass_box_monitor_konark_best.pt | Weights | 87.6 MB | 3d6d3df70a98 |
| pass_box_monitor_konark_best2.pt | Weights | 87.6 MB | 5f8a99e6aa6d |
| pass_box_monitor_konark_best_4.pt | Weights | 87.6 MB | 3d6d3df70a98 |
| pass_box_monitor_konark_best_bak.pt | Weights | 87.6 MB | 08381257ae9c |
| pass_box_monitor_konark_best_bak2.pt | Weights | 87.6 MB | 5f8a99e6aa6d |
| people_watching_screen_yolo11n.pt | Weights | 5.6 MB | 0ebbc80d4a76 |
| person_count_yolov8m.pt | Weights | 52.1 MB | 5d4a90cdc7a2 |
| phone_detection_best.pt | Weights | 136.7 MB | 98c2c11e240c |
| phone_detection_v1_best.pt | Weights | 136.7 MB | 98c2c11e240c |
| phone_detection_v1_yolo11x.pt | Weights | 114.6 MB | 7bc158aa95c0 |
| phone_usage_detection_rtmpose_m_ucoco_256x192.onnx | Weights | 71.8 MB | 94ca58fa2d6c |
| phone_usage_detection_yolo11m.pt | Weights | 40.7 MB | d5ffc1a67495 |
| phone_usage_detection_yolo11x.pt | Weights | 114.6 MB | 7bc158aa95c0 |
| ppe_kit_detection_konark_best.pt | Weights | 45.2 MB | bdeb338bb8dc |
| ppe_kit_door_open_best.pt | Weights | 92.3 MB | 883a63017825 |
| ppe_kit_door_open_hardhat.pt | Weights | 40.8 MB | 6b5c589f9561 |
| ppe_kit_door_open_jacket.pt | Weights | 87.7 MB | 07603d2b63c4 |
| queue_waiting_yolov8n.pt | Weights | 6.5 MB | f59b3d833e2f |
| reception_absence_yolov8l.pt | Weights | 87.8 MB | 64c9115303f6 |
| reception_absence_yolov8m.pt | Weights | 52.1 MB | 5d4a90cdc7a2 |
| reception_drawer_yolov8l.pt | Weights | 87.8 MB | 64c9115303f6 |
| reception_drawer_yolov8m.pt | Weights | 52.1 MB | 5d4a90cdc7a2 |
| refrigerator_door_best.pt | Weights | 6.2 MB | 0da23818276f |
| refrigerator_door_best_bak.pt | Weights | 3.0 MB | 356b0e809236 |
| refrigerator_door_best_bak2.pt | Weights | 6.2 MB | 8b5bb2d47881 |
| restriction_zone_yolov8l.pt | Weights | 87.8 MB | 64c9115303f6 |
| restriction_zone_yolov8n.pt | Weights | 6.5 MB | f59b3d833e2f |
| seat_monitoring_yolov8n.pt | Weights | 6.5 MB | f59b3d833e2f |
| shoplifting_detection_stgcn_theft.pt | Weights | 424.3 KB | d3e73466b96b |
| shoplifting_detection_verifier.pt | Weights | 44.8 MB | 76e55ad7c550 |
| shoplifting_detection_x3d_theft_v8_best_ep22.pt | Weights | 12.3 MB | 505410991410 |
| shoplifting_detection_x3d_theft_v9_best_ep20.pt | Weights | 12.3 MB | 44b2e7fc9254 |
| shoplifting_detection_yolov8n.pt | Weights | 6.5 MB | f59b3d833e2f |
| shoplifting_detection_yolov8n_bag.pt | Weights | 6.5 MB | f59b3d833e2f |
| shoplifting_detection_yolov8n_pose.pt | Weights | 6.8 MB | c6fa93dd1ee4 |
| shutter_monitoring_best.pt | Weights | 40.5 MB | 59ab41c488ec |
| table_occupancy_monitor_autotable_table_detect_model_best.pt | Weights | 87.6 MB | 71f8df038c49 |
| track_loading_best.pt | Weights | 136.7 MB | 621f3968de47 |
| uniform_compliance_best.pt | Weights | 5.4 MB | 3a040edeb7f2 |
| uniform_compliance_id_card_seg_v1.pt | Weights | 6.5 MB | f9040f4d77f1 |
| uniform_compliance_logo_detector_v3.pt | Weights | 5.4 MB | dc813dd41abd |
| w600k_r50.onnx | Weights | 174.4 MB | 4c06341c33c2 |
| weapon_detection_best_rod_v3.pt | Weights | 87.6 MB | 5a2417ed090d |
| yolo11m-pose.pt | Weights | 42.5 MB | 29b17eaf3a31 |
| yolo11n-pose.pt | Weights | 6.3 MB | 869e83fcdffd |
| yolo11n.pt | Weights | 5.6 MB | 0ebbc80d4a76 |
| yolo11x-pose.pt | Weights | 118.5 MB | 013c43543b07 |
| yolo11x.pt | Weights | 114.6 MB | 7bc158aa95c0 |
| yolo_models_liquor_model.pt | Weights | 6.3 MB | ae4622e75b48 |
| yolo_models_sam2.1_b.pt | Weights | 161.9 MB | f1a9cf2dd69d |
| yolo_models_yolo11m.pt | Weights | 40.7 MB | d5ffc1a67495 |
| yolo_models_yolo11m_pose.pt | Weights | 42.5 MB | 29b17eaf3a31 |
| yolo_models_yolo11n.pt | Weights | 5.6 MB | 0ebbc80d4a76 |
| yolo_models_yolo11n_pose.pt | Weights | 6.3 MB | 869e83fcdffd |
| yolo_models_yolo11x.pt | Weights | 114.6 MB | 7bc158aa95c0 |
| yolo_models_yolo11x_pose.pt | Weights | 118.5 MB | 013c43543b07 |
| yolo_models_yolov8l.pt | Weights | 87.8 MB | 64c9115303f6 |
| yolo_models_yolov8m.pt | Weights | 52.1 MB | 5d4a90cdc7a2 |
| yolo_models_yolov8n.pt | Weights | 6.5 MB | f59b3d833e2f |
| yolov8l.pt | Weights | 87.8 MB | 64c9115303f6 |
| yolov8m.pt | Weights | 52.1 MB | 5d4a90cdc7a2 |
| yolov8n.pt | Weights | 6.5 MB | f59b3d833e2f |
| yolov8s.pt | Weights | 22.6 MB | 1f47a78bf100 |
| z_ppe_kit_best.pt | Weights | 92.3 MB | 883a63017825 |
| z_ppe_kit_hardhat.pt | Weights | 40.8 MB | 6b5c589f9561 |
| z_ppe_kit_jacket.pt | Weights | 87.7 MB | 07603d2b63c4 |
| cheating_detection_trained_model.json | Configuration | 52.0 KB | — |
| adaface_ir50_webface4m.onnx.data | Other | 174.4 MB | 361fd539d66e |
| box_counter_box_count_26x_v5.engine | Other | 114.1 MB | ff1fe4930d93 |
| box_counter_truck_26x.engine | Other | 114.2 MB | d0b0772b892c |
| food_eating_detection_hand_landmarker.task | Other | 7.8 MB | fbc2a30080c3 |
| food_eating_detection_pose_landmarker_full.task | Other | 9.4 MB | 5134a3aad27a |
| osnet_ain_x1_0_msmt17.onnx.data | Other | 8.6 MB | bb18c2faefab |
| people_watching_screen_face_landmarker.task | Other | 3.8 MB | 64184e229b26 |
| w600k_mbf.onnx.data | Other | 13.6 MB | 9cc6e4a75f0e |
| w600k_r50.onnx.data | Other | 174.4 MB | 4c06341c33c2 |
| .gitattributes | Repository | 2.1 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 12.2 GB
Download from Arjun sourcesoft
Released by Arjun sourcesoft through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 12.2 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.