Traffic Sign Images from Turkey

Traffic Sign Images from Turkey Traffic Sign Images from Turkey Datasets Traffic Sign Images from Turkey File Traffic Sign Images […]

Drone Image Classification Dataset

Drone Image Classification Dataset Drone Image Classification Dataset Datasets Drone Image Classification Dataset File Drone Image Classification Dataset Use Case

SynthForgeData

SynthForgeData SynthForgeData Datasets SynthForgeData File SynthForgeData Use Case SynthForgeData Description Discover the LEGO Minifigure Faces dataset, a curated collection of

Oregon Wildlife

The Oregon Wildlife dataset is a curated collection of 14,013 images representing the rich biodiversity of Oregon. Assembled from a personal passion for wildlife.

Animals 151

This was a toy dataset I collected for me to test image classification models quickly. This dataset does not have much images per class.

Car vs Bike Classification Dataset

This data set is a collection of 2,000 Bike and Car images. While collecting these images, It was made sure that all types of bikes and cars.

Human Body Background Remover

Unlock high-speed human body segmentation with our UNet Autoencoder model weights. Specially designed for flawless background removal.

Butterfly Image Classification

The dataset features 75 different classes of Butterflies. The dataset contains about 1000+ labelled images including the validation images.

A Large Scale Fish Dataset

This dataset was collected in order to carry out segmentation, feature extraction, and classification tasks and compare the common segmentation.

{ "@context": "https://schema.org", "@graph": [ { "@type": "Service", "serviceType": "Custom AI Training Data & Semantic Segmentation", "name": "Fish Segmentation and Classification Dataset Service", "description": "Providing custom, large-scale, annotated image datasets for training AI/ML models in seafood quality inspection, species classification, and automated segmentation for industrial and research applications.", "provider": { "@type": "Organization", "name": "GTS", "url": "https://gts.ai/", "logo": "https://gts.ai/wp-content/themes/mx/images/logo.png" }, "areaServed": "Global", "serviceOutput": "Annotated Image Dataset with Ground Truth Labels", "url": "https://gts.ai/dataset-download/a-large-scale-fish-dataset/" }, { "@type": "Organization", "name": "GLOBOSE TECHNOLOGY SOLUTIONS PRIVATE LIMITED", "url": "https://gts.ai/", "logo": "https://gts.ai/wp-content/themes/mx/images/logo.png", "contactPoint": { "@type": "ContactPoint", "contactType": "customer service", "telephone": "+91-9269795291", "email": "hi@gts.ai" } }, { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://gts.ai/" }, { "@type": "ListItem", "position": 2, "name": "Dataset Download", "item": "https://gts.ai/dataset-download" }, { "@type": "ListItem", "position": 3, "name": "A Large Scale Fish Dataset", "item": "https://gts.ai/dataset-download/a-large-scale-fish-dataset/" } ] }, { "@type": "Dataset", "name": "A Large-Scale Dataset for Fish Segmentation and Classification (9 Classes)", "description": "A comprehensive dataset of 18,000 augmented images (9 distinct seafood varieties) with pair-wise ground truth labels, originally collected for semantic segmentation, feature extraction, and classification tasks.", "url": "https://gts.ai/dataset-download/a-large-scale-fish-dataset/", "keywords": [ "Fish Classification Dataset", "Semantic Segmentation", "Seafood Quality Inspection AI", "Image Classification", "Ground Truth Labels", "Food Industry Dataset" ], "license": "https://creativecommons.org/publicdomain/zero/1.0/", "creator": { "@type": "Organization", "url": "https://gts.ai/", "logo": "https://gts.ai/wp-content/themes/mx/images/logo.png", "name": "GTS" }, "publisher": { "@type": "Organization", "name": "GLOBOSE TECHNOLOGY SOLUTIONS PRIVATE LIMITED" }, "distribution": { "@type": "DataDownload", "encodingFormat": "PNG/ZIP", "contentUrl": "https://gts.ai/dataset-download/a-large-scale-fish-dataset/" } }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What AI/ML tasks is this Large-Scale Fish Dataset best suited for?", "acceptedAnswer": { "@type": "Answer", "text": "This dataset is optimized for advanced Computer Vision tasks, primarily **Semantic Segmentation**, **Feature Extraction**, and **Classification** of seafood varieties for automated quality control systems." } }, { "@type": "Question", "name": "How does the dataset achieve high scalability and quantity?", "acceptedAnswer": { "@type": "Answer", "text": "The dataset leverages **data augmentation** techniques like flipping and rotation to standardize and increase the image count to 2,000 augmented images per class, totaling 18,000 images, ensuring scalability for large projects." } }, { "@type": "Question", "name": "What types of fish and seafood are included in the dataset?", "acceptedAnswer": { "@type": "Answer", "text": "The dataset contains nine distinct seafood types, including **gilt-head bream, sea bass, red mullet, trout, and shrimp**. Each class includes dedicated ground truth segmentation labels." } }, { "@type": "Question", "name": "Can GTS create a custom dataset for fish inspection in my specific region?", "acceptedAnswer": { "@type": "Answer", "text": "Yes, we offer **custom dataset creation and data augmentation** to capture regional species diversity or specific image conditions relevant to your industrial application. We can provide a **free sample** based on your exact requirements." } } ] } ] }
Scroll to Top