India’s
computer vision industry,
in focus.

Plant disease detection challenges

32.8% of this theme group

Researchers highlight difficulties in applying CNNs to plant disease identification, including data variability and transfer learning limits.

Convolutional neural network (19) · Plant disease (8) · Workflow (3) · Transfer of learning (3)

A Comprehensive Review of Machine Learning and Deep LearningTechniques for Banana Leaf Disease Detection

A systematic review of deep learning and super resolution techniques for leaf level and canopy level plant disease detection

Robustness and adversarial threats

29.7% of this theme group

Papers point out vulnerabilities of CNNs to adversarial attacks and the need for stronger anomaly detection methods.

Robustness (5) · Adversarial system (3) · Convolutional neural network (9) · Anomaly detection (2)

Deepfake Detection and Generation Using Machine Learning Techniques

Artificial Intelligence in Cybersecurity: Machine Learning and Deep Learning for Intelligent Threat Detection

Segmentation accuracy issues

21.9% of this theme group

Works discuss obstacles in achieving reliable image segmentation for medical diagnostics and pattern‑recognition tasks.

Segmentation (4) · Image segmentation (3) · Pattern recognition (3) · Image (3)

Advances in Machine, Deep, and Explainable AI-based Semantic Segmentation for Brain Tumor and Lesion Detection

Multimodal artificial intelligence for enhanced skin cancer diagnosis and prognosis

Signal and perception limitations

15.6% of this theme group

Studies examine constraints of pixel‑level signal processing and perceptual adaptation in imaging and 3D printing systems.

SIGNAL (2) · Pixel (2) · Perception (2)

A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications

A NOVEL ANALYTICAL FRAMEWORK FOR PERCEPTUALLY ADAPTIVE 3D PRINTING SYSTEMS

Deployment scalability concerns

53.6% of this theme group

Authors caution that overfitting and scalability hinder real‑world deployment of deep learning models for image enhancement.

Software deployment (3) · Convolutional neural network (5) · Scalability (2) · Overfitting (2)

A systematic review of deep learning methods for low-light image enhancement and object detection

Transfer Learning for Image Processing: A Review and Practical Considerations

Clinical workflow integration risks

25.0% of this theme group

Papers warn about practical hurdles when embedding AI tools into oral health diagnostics and related medical workflows.

Workflow (2) · Applications of artificial intelligence (2) · MEDLINE (2) · Convolutional neural network (3)

Artificial Intelligence in Early Detectionof Oral Cancer: Future of Oral Medicine

Artificial intelligence in oral pathology: Friend and foe

Dataset size and class balance

10.7% of this theme group

Research highlights how limited data and class diversity affect CNN performance across varied visual domains.

Class (2)

Impact of Dataset Size and Class Diversity on ResNet Performance

IndiaScene365: a transfer learning dataset for Indian scene understanding in diverse weather condition

Imaging artifact interference

10.7% of this theme group

Works note that metal artifacts and other imaging distortions can mislead AI analysis in medical and acoustic data.

Artifact (2)

In vitro assessment of CBCT metal artifact reduction algorithms in TMJ prosthetic components

Tiger stripe: an innocuous Doppler artifact

Advanced medical image segmentation

20.4% of this theme group

Emerging transformer and diffusion models promise more efficient and accurate segmentation of complex medical scans.

Image (51) · Segmentation (67) · Digital watermarking (13) · Pixel (21)

RefineFormer3D: Efficient 3D Medical Image Segmentation via Adaptive Multi-Scale Transformer with Cross Attention Fusion

TransDiff‐HiSeg: An Adaptive Transformer‐Diffusion Framework for Medical Image Segmentation in Sustainable Healthcare

Next‑generation object and eye tracking

17.5% of this theme group

Innovations in detection and tracking algorithms aim to improve robustness for autonomous systems and human‑machine interfaces.

Object detection (75) · Object (34) · Tracking (20) · Eye tracking (10)

YOLOv8: A Novel Object Detection Algorithm with Enhanced Performance and Robustness

Ultrasensitive Mesh‐Structured Position‐Sensitive Detectors Enabling Eye Tracking for Human‐Machine Interaction

Transfer learning for feature extraction

16.5% of this theme group

Studies explore how pretrained CNNs can be adapted to new domains, enhancing pattern recognition with limited data.

Convolutional neural network (337) · Pattern recognition (127) · Transfer of learning (31) · Feature extraction (34)

Deep convolutional neural network based medical image classification for disease diagnosis

Interpretable AI Models for Detecting and Classifying Multiple Retinal Conditions Using Hybrid CNN-Transformer-Ensemble Architectures

Retinal disease detection breakthroughs

15.0% of this theme group

Deep learning models are achieving high accuracy in identifying diabetic retinopathy and other ocular conditions from fundus images.

Pattern recognition (182) · Diabetic retinopathy (35) · Fundus (29) · Convolutional neural network (133)

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Ocular Disease Recognition Using Deep Learning

Deep learning for security monitoring

14.8% of this theme group

Research demonstrates powerful CNN‑based systems for intrusion detection and anomalous behavior analysis in networks.

Pattern recognition (96) · Convolutional neural network (96) · Object detection (38) · Intrusion detection system (19)

Enhanced Intrusion Detection and Prevention System Using Deep Learning and Machine Learning Techniques for Network Security

Advanced Deep Learning Techniques for Detecting Anomalous Human Behavior Patterns

Brain tumor segmentation advances

9.6% of this theme group

Hybrid CNN‑Transformer frameworks are improving multi‑class tumor detection and segmentation in MRI scans.

Brain tumor (29) · Breast cancer (25) · Pattern recognition (116) · Segmentation (70)

Improved Brain Tumor Detection Using Convolutional Neural Networks (CNN) and Transfer Learning Techniques for MRI Images

Supervised Deep Learning Framework for Multiclass Brain Tumor Detection Using MRI and Computer Vision Transformer

Precision agriculture disease monitoring

6.4% of this theme group

AI techniques are enabling rapid, accurate plant disease identification to support targeted interventions in farming.

Plant disease (34) · Precision agriculture (26) · Agriculture (21) · Convolutional neural network (81)

Deep Learning for Plant Disease Detection and Identification

Hybrid Deep Learning Framework for Intelligent Plant Disease Detection using Leaf Image Analysis

Bengaluru

39.4% across the displayed hubs

12 companies hiring · $415.5M disclosed funding

Hyderabad

10.8% across the displayed hubs

7 companies hiring · $8.1M disclosed funding

Gurugram

9.5% across the displayed hubs

1 companies hiring · $12.8M disclosed funding

Mumbai

9.5% across the displayed hubs

5 companies hiring · $141.3M disclosed funding

Delhi

9.1% across the displayed hubs

2 companies hiring · $12.9M disclosed funding

Pune

8.3% across the displayed hubs

3 companies hiring · $842.6K disclosed funding

Noida

7.1% across the displayed hubs

4 companies hiring · $17.6M disclosed funding

Chennai

6.2% across the displayed hubs

1 companies hiring · $4.1M disclosed funding