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Top 325 Computer Vision Models
The models below have been fine-tuned for various 325 detection tasks. You can try out each model in your browser, or test an edge deployment solution (i.e. to an NVIDIA Jetson). You can use the datasets associated with the models below as a starting point for building your own 325 detection model.
At the bottom of this page, we have guides on how to count 325s in images and videos.
by MS CS Thesis
320 images 25 classes
12 HR albuterol 4 MG Extended Release Tablet 8 HR Acetaminophen 650 MG Extended Release Tablet Acetaminophen 325 MG Tablet Acetaminophen 500 MG Tablet Albuterol 12 HR MG Extended ReleaseTablet Albuterol 12 HR 8 MG Extended ReleaseTablet Albuterol 2 MG Tablet Albuterol 4 MG Tablet Amlodipine 10 MG Tablet Amlodipine 2 Amlodipine 2.5 MG Oral Tablet Amlodipine 2.5 MG Tablet Amlodipine 5 MG Oral Tablet Amlodipine 5 MG Tablet Ibuprofen 200 MG Tablet Ibuprofen 400 MG Tablet Ibuprofen 600 MG Tablet Ibuprofen 800 MG Tablet Lisinopril 10 MG Tablet Lisinopril 2
by MS CS Thesis
320 images 25 classes
12 HR albuterol 4 MG Extended Release Tablet 8 HR Acetaminophen 650 MG Extended Release Tablet Acetaminophen 325 MG Tablet Acetaminophen 500 MG Tablet Albuterol 12 HR MG Extended ReleaseTablet Albuterol 12 HR 8 MG Extended ReleaseTablet Albuterol 2 MG Tablet Albuterol 4 MG Tablet Amlodipine 10 MG Tablet Amlodipine 2 Amlodipine 2.5 MG Oral Tablet Amlodipine 2.5 MG Tablet Amlodipine 5 MG Oral Tablet Amlodipine 5 MG Tablet Ibuprofen 200 MG Tablet Ibuprofen 400 MG Tablet Ibuprofen 600 MG Tablet Ibuprofen 800 MG Tablet Lisinopril 10 MG Tablet Lisinopril 2
45 images 2069 classes
mask person -0-0 -100-64878048780469 -1000-0022505626407 -1000-1762127875611 -1000-8264462809908 -1001-0032508127034 -1001-8777110212488 -1002-3880414131419 -1003-4712241544406 -1003-5545789548756 -1003-9399267094751 -1005-1809269702934 -1005-4692262573712 -1007-4300071058922 -1008-9999999999981 -1009-4100906134347 -1009-4150672768247 -1009-6934516720788
42 images 3373 classes
"capacitor jumper" CJ1 "capacitor jumper" CJ2 "component text" "-309 LL6" "component text" "0 N" "component text" "0001 5293 170A" "component text" "021 LDBM N389" "component text" "0821-1X1T-43-F 1402 WM" "component text" "0833 LTC2274 UJ BT267910" "component text" "085811 B4T EHCR" "component text" "0N 5C" "component text" "1 2 3 4" "component text" "1 2" "component text" "100 CFK 7BD" "component text" "100 CFK- 7BD" "component text" "100 VFK- 87" "component text" "100 VFK- 8R7" "component text" "106C 43JJ2" "component text" "107A 938H4" "component text" "12-000" "component text" "15 203"
by Ankita
51 images 92 classes
hole 292-1142857142857 300-89146205357144 304-5486049107143 305-28002232142853 305-2800223214286 306-01143973214283 306-74285714285713 307-4742745535714 307-47427455357143 308-20574776785713 308-9371651785714 309-6685825892857 309-66858258928573 310-4 310-40000000000003 311-1314174107143 311-862890625 311-86289062500003 312-5943080357143
529 images 4201 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 100 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 101 1010