Rice Grain Classification using CNN & MobileNetV2 This solution highlights the application of com...

Rice Grain Classification using CNN & MobileNetV2 This solution highlights the application of com...Rice Grain Classification using CNN & MobileNetV2 This solution highlights the application of com...

The network for creativity

Join 1.25M professional creatives like you

Connect with clients, get discovered, and run your business 100% commission-free

Creatives on Contra have earned over $150M and we are just getting started

Back to feedPost

Rushikesh Chavan

• Jan 16

Rice Grain Classification using CNN & MobileNetV2

This solution highlights the application of computer vision in agricultural quality control and automation, enabling accurate and scalable grain classification.

Data Science Machine Learning Engineering OpenCV Python TensorFlow AI Engineer

Waqar Ul Hasan Shah

• Feb 25

Here is my Second submission of CapCut AI challenge I did'nt recieved access to submit template so here is my videos for this.

aicapcut atcp

Hamza Iqbal

• Feb 25

Entry 2: for the Caput AI Challenge The video is created in Cacpcut, which is totally AI and uses the CapCut AI effects, music, and captions, and it is like the podcast between the supplier and the dealer to resolve their problems in construction business. Two

Video Editing CapCut aicapcut aicapcutchallenge

Ui UX Rasel 007

• Feb 26

Super Work

Pedro Marinho

• Feb 25

Cinematic Color Grading for Short Films, Travel Content & Branded Videos

I provide high-end color correction and cinematic grading tailored to your project’s visual identity.

Whether you’re working with log footage, drone shots, or mixed lighting environments, I ensure your final film looks cohesive, balanced, and visually powerful.

Deliverables include: – Balanced exposure and white levels – Natural, accurate skin tones – Shot matching and consistency – Custom cinematic look development – Final export in your desired format

cinematic davinciresolve