Aayush Bajaj is a Director and applied computer vision specialist with 9 years of experience building and productionizing deep learning systems for challenging real-world visual environments. He led development of the industry's first solution to measure fine-grained operations from jobsite video in real time and has prior experience developing AI-driven quality assessment for fresh produce. Comfortable across object detection, segmentation, tracking and activity classification, he has taken research ideas into cloud-deployed products and implemented novel image descriptors early in his career. Based in Jaipur, Aayush brings a hands-on, curious learning mindset—evident from his Github motto—and a track record of turning vision research into operational impact.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at B. K. Birla Institute of Engineering & Technology, Pilani
VGG19 pretrained imagenet, I freezed all layers and added more layers on top for classification, this simple model will give you 92.83% accuracy on the publicleaderboard
Contributions:5 PRs, 8 pushes, 2 branches in 7 months
pytorchclassificationfreezedimagenetpretrained
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