Top Commercial Computer Vision Models
The models below have been fine-tuned for various commercial 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 commercial detection model.
At the bottom of this page, we have guides on how to count commercials in images and videos.
by cuize
3498 images 45 classes
commercial cargo commercial cargo/backlit commercial cargo/blurry commercial cargo/distant commercial large fishing commercial large fishing/blurry commercial large passenger commercial large passenger/blurry commercial small commercial small/backlit commercial small/blurry non-commercial large non-commercial large/backlit non-commercial large/blurry non-commercial large/distant non-commercial medium non-commercial medium/backlit non-commercial medium/blurry non-commercial medium/distant non-commercial sailing
5611 images 5 classes
2376 images 9 classes
by EYxNASA
125 images 13 classes
============================== Damaged Commercial Building Damaged Residential Building Damaged-Commercial-Building Damaged-Residential-Building Roboflow is an end-to-end computer vision platform that helps you This dataset was exported via roboflow This dataset was exported via roboflow.com on April 26, 2024 at 2:26 AM GMT Undamaged Commercial Building Undamaged Residential Building Undamaged-Commercial-Building Undamaged-Residential-Building nasa new pictures - v2 2024-04-25 7:13pm
238 images 14 classes
by Walkable
414 images 28 classes
15m 2m 5m 7m Broken footpath Construction debris Dark zone Encroachment Encroachment by parking Encroachment by planters Encroachment by vendor or shop spillover Footpath Quality Garbage vulnerable point Junction boxes Level difference Line Litter on street (Commercial) Litter on street -Commercial- Low hanging wires No footpath
2376 images 10 classes
946 images 3 classes
3306 images 21 classes
by GEOproject
1855 images 23 classes
by Alertifire
3864 images 4 classes
by Testing
311 images 2 classes
by Mine
219 images 18 classes
CEO:-En.-Amar-Huzaimi CHCO:-Puan-Sarinah CHOT CIO:-Mr.-Ivan CNO:-En-Mohamed-Tajul Chief Commercial Officer : Puan Jasmine Chief Commercial Officer, Business and Strategy: Puan Shanti Chief-Business-Consumer-Office:-Mr Chief-Business-Consumer-Office:-Mr.-Anand Chief-Information-Security-Officer: Puan Raja Azrina Covering-CEO-Credence:-En-Mohamad-Rejab Covering-EVP-TM-Global:-Puan-Khairul-Liza EVP-TMOne:-Puan-Shazurawati VP BI Tech: Puan Azni Risa VP-NOC:-Ir.-Jayaprakash VP-NRO:-En VP-NRO:-En.-Mohamad-Ansahari VP-TSFP:-Puan-Nariman
175 images 10 classes