With our Takeoff Edu Group image detection projects, you'll be able to harness the power of computer vision and build amazing projects that can see and understand the world around you. Whether you're interested in creating self-driving cars, developing smart home systems, or creating the next big social media app, our projects will help you get started.
Project Code: TMMAIP485
Project Title:Classification of Psoriasis Using VisionTransformer: A Deep Learning-Based ApproachView DetailsProject Code: TMMAIP480
Project Title:Breast Cancer Detection Using Mammography: Image Processing to Deep LearningView DetailsProject Code: TMMAIP479
Project Title:Deep Learning-Based Multi-Class Model in WSIs: Vision Transformer for Distinguishing Cancer, Tumor, Mitosis, Red Blood Cells, and KaryorrhexisView DetailsProject Code: TMMAIP477
Project Title:Artificial Intelligence Techniques for Landslides Prediction Using Satellite ImageryView DetailsProject Code: TMMAIP473
Project Title:Classification of Oral Cancer into Pre-Cancerous Stages from White Light Images Using LightGBM AlgorithmView DetailsProject Code: TMMAIP472
Project Title:Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine LearningView DetailsProject Code: TMMAIP470
Project Title:Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian CancerView DetailsProject Code: TMMAIP459
Project Title:DeepSeqCoco: A Robust Mobile Friendly Deep Learning Model for Detection of Diseases in Cocos NuciferaView DetailsProject Code: TMMAIP453
Project Title:AI-Synthesized Image Detection: Source Camera Fingerprinting to Discern the Authenticity of Digital ImagesView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TMMAIP485 | Classification of Psoriasis Using VisionTransformer: A Deep Learning-B... | |
| 2 | TMMAIP480 | Breast Cancer Detection Using Mammography: Image Processing to Deep L... | |
| 3 | TMMAIP479 | Deep Learning-Based Multi-Class Model in WSIs: Vision Transformer for ... | |
| 4 | TMMAIP477 | Artificial Intelligence Techniques for Landslides Prediction Using Sa... | |
| 5 | TMMAIP475 | Detection of Oral cancer using Image analysis | |
| 6 | TMMAIP473 | Classification of Oral Cancer into Pre-Cancerous Stages from White Lig... | |
| 7 | TMMAIP472 | Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Manageme... | |
| 8 | TMMAIP470 | Comparative Study of Machine Learning and Deep Learning Models for Ear... | |
| 9 | TMMAIP459 | DeepSeqCoco: A Robust Mobile Friendly Deep Learning Model for Detectio... | |
| 10 | TMMAIP453 | AI-Synthesized Image Detection: Source Camera Fingerprinting to Discer... |
Project Code: TMMAIP485
Project Title:Classification of Psoriasis Using VisionTransformer: A Deep Learning-Based ApproachView DetailsProject Code: TMMAIP480
Project Title:Breast Cancer Detection Using Mammography: Image Processing to Deep LearningView DetailsProject Code: TMMAIP479
Project Title:Deep Learning-Based Multi-Class Model in WSIs: Vision Transformer for Distinguishing Cancer, Tumor, Mitosis, Red Blood Cells, and KaryorrhexisView DetailsProject Code: TMMAIP477
Project Title:Artificial Intelligence Techniques for Landslides Prediction Using Satellite ImageryView DetailsProject Code: TMMAIP473
Project Title:Classification of Oral Cancer into Pre-Cancerous Stages from White Light Images Using LightGBM AlgorithmView DetailsProject Code: TMMAIP472
Project Title:Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine LearningView DetailsProject Code: TMMAIP470
Project Title:Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian CancerView DetailsProject Code: TMMAIP459
Project Title:DeepSeqCoco: A Robust Mobile Friendly Deep Learning Model for Detection of Diseases in Cocos NuciferaView DetailsProject Code: TMMAIP453
Project Title:AI-Synthesized Image Detection: Source Camera Fingerprinting to Discern the Authenticity of Digital ImagesView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TMMAIP485 | Classification of Psoriasis Using VisionTransformer: A Deep Learning-B... | |
| 2 | TMMAIP480 | Breast Cancer Detection Using Mammography: Image Processing to Deep L... | |
| 3 | TMMAIP479 | Deep Learning-Based Multi-Class Model in WSIs: Vision Transformer for ... | |
| 4 | TMMAIP477 | Artificial Intelligence Techniques for Landslides Prediction Using Sa... | |
| 5 | TMMAIP475 | Detection of Oral cancer using Image analysis | |
| 6 | TMMAIP473 | Classification of Oral Cancer into Pre-Cancerous Stages from White Lig... | |
| 7 | TMMAIP472 | Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Manageme... | |
| 8 | TMMAIP470 | Comparative Study of Machine Learning and Deep Learning Models for Ear... | |
| 9 | TMMAIP459 | DeepSeqCoco: A Robust Mobile Friendly Deep Learning Model for Detectio... | |
| 10 | TMMAIP453 | AI-Synthesized Image Detection: Source Camera Fingerprinting to Discer... |
Project Code: TMMAIP485
Project Title:Classification of Psoriasis Using VisionTransformer: A Deep Learning-Based ApproachView DetailsProject Code: TMMAIP480
Project Title:Breast Cancer Detection Using Mammography: Image Processing to Deep LearningView DetailsProject Code: TMMAIP479
Project Title:Deep Learning-Based Multi-Class Model in WSIs: Vision Transformer for Distinguishing Cancer, Tumor, Mitosis, Red Blood Cells, and KaryorrhexisView DetailsProject Code: TMMAIP477
Project Title:Artificial Intelligence Techniques for Landslides Prediction Using Satellite ImageryView DetailsProject Code: TMMAIP473
Project Title:Classification of Oral Cancer into Pre-Cancerous Stages from White Light Images Using LightGBM AlgorithmView DetailsProject Code: TMMAIP472
Project Title:Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine LearningView DetailsProject Code: TMMAIP470
Project Title:Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian CancerView DetailsProject Code: TMMAIP459
Project Title:DeepSeqCoco: A Robust Mobile Friendly Deep Learning Model for Detection of Diseases in Cocos NuciferaView DetailsProject Code: TMMAIP453
Project Title:AI-Synthesized Image Detection: Source Camera Fingerprinting to Discern the Authenticity of Digital ImagesView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TMMAIP485 | Classification of Psoriasis Using VisionTransformer: A Deep Learning-B... | |
| 2 | TMMAIP480 | Breast Cancer Detection Using Mammography: Image Processing to Deep L... | |
| 3 | TMMAIP479 | Deep Learning-Based Multi-Class Model in WSIs: Vision Transformer for ... | |
| 4 | TMMAIP477 | Artificial Intelligence Techniques for Landslides Prediction Using Sa... | |
| 5 | TMMAIP475 | Detection of Oral cancer using Image analysis | |
| 6 | TMMAIP473 | Classification of Oral Cancer into Pre-Cancerous Stages from White Lig... | |
| 7 | TMMAIP472 | Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Manageme... | |
| 8 | TMMAIP470 | Comparative Study of Machine Learning and Deep Learning Models for Ear... | |
| 9 | TMMAIP459 | DeepSeqCoco: A Robust Mobile Friendly Deep Learning Model for Detectio... | |
| 10 | TMMAIP453 | AI-Synthesized Image Detection: Source Camera Fingerprinting to Discer... |
Unlock the power of computer vision with our image detection projects. Designed to introduce the exciting world of artificial intelligence and machine learning, these projects provide hands-on experience with state-of-the-art image recognition technologies.
Our projects are designed for students of all levels, from beginners to experienced coders. With step-by-step instructions, easy-to-follow tutorials, and a supportive community, you'll be building image detection projects in no time!
Whether you're a beginner or an experienced coder, our projects will help you learn and develop your skills in computer vision and AI. With step-by-step instructions, easy-to-follow tutorials, and a supportive community, you'll be building image detection projects in no time!
So why wait? Start your journey into the exciting world of computer vision today and discover the magic of image detection!