Data augmentation jobs

...that would take classical supercomputers millennia to solve. 3. Biotechnology and Neurotechnology The convergence of biology and technology (often called "BioTech") is creating revolutionary tools: CRISPR gene editing advancements and synthetic biology. Brain-computer interfaces (BCI), such as Neuralink’s work on direct neural communication. Personalized medicine powered by AI analysis of genomic data. 4. Sustainable and Green Technology Climate change has driven massive research investment into: Next-generation batteries and energy storage. Advanced solar photovoltaics and perovskite cells. Carbon capture and utilization technologies. Fusion energy research (e.g., ITER project and private companies like Commonwealth Fusion Systems). 5. Advanced Materials and ...

...If energy charge and capacity charge tariffs are adjusted → revenue and returns update automatically The model should support interchangeable scenario analysis without breaking formulas. 5. Scenario & Sensitivity Analysis Please include: * Base / Best / Worst case scenarios * Sensitivity tables for: * CAPEX * Tariff * Interest rate * Energy yield * Capacity factor * Battery augmentation/degradation * Energy charge tariff * Capacity charge tariff * Optional tornado chart/dashboard is a plus 6. Deliverables * Excel financial model (.xlsx) * Clear instructions or notes tab explaining: * Inputs * Outputs * Formula logic * How to run scenarios * Sample filled-in case study for demonstration Preferred Experience: * Renewable energy financial...

...it as a native-first alternative that feels natural to C# developers yet mirrors the familiar TensorFlow/Keras workflow. Scope of functionality The first milestone centres on the same pillars that make Keras intuitive: • Neural Network Building – an object model that lets me compose layers, define sequential or functional graphs, and introspect parameters. • Data Preprocessing – utilities for batching, shuffling, augmentation and dataset pipelines comparable to tf.data. • Model Evaluation – training loops, metric tracking, checkpointing and model save/load logic. Runtime expectations The library will be used in standalone fashion; it only needs to expose a public API that any C# solution can reference. Low-level compute may targ...

I have an existing home that needs to be documented in FreeCAD and a planned version of the same home that I would like drawn up in the same file. The level of detail I’m after sits comfortably between a simple outline and full-blown architectural drawings: walls, openings, roof shape and key dimensions accurate enough for later augmentation, but nothing structural or interior-design heavy at this stage. For the existing house I need floor plan, that if needed can be transformed into elevation views, But I have basic elevation that may be OK; the planned version can stay floor-plan only for now. Interior layouts, finishes and furniture are not required—But need wet room item: washer, dryer, shower bath. loo etc. Deliverables • FreeCAD (.FCStd) file containing two ...

...Para 4: XAI + summary of our proposed multimodal work with 3 contributions 2. SECTION III. METHODOLOGY [Edit ONLY these subheadings] 4.1 System Architecture: Pipeline text + describe Fig 1: Data → Preprocessing → ResNet-50 + ClinicalBERT → Fusion → Classifier → Grad-CAM 4.2 Dataset Description: Create Table 1 like reference - Source: MIMIC-CXR, Pairs: 1,495, Classes: 14, Split: patient-level 70/10/20. Add sentence: "Due to computational constraints, we used a curated subset following standard practice [ref]." 4.3 Data Preprocessing: Bullets - Resizing 224×224, Normalization ImageNet, Augmentation, Balancing 4.4 Mathematical model: Add equations for Softmax + Weighted BCE Loss for multi-label. Remove "causal&...

Augmentations of the shadow diagrams CAD of the Ocean Street Project

I am building a Windows-based computer-vision system that pulls images and related text from PDF and XML sources, then trains a deep-learning model to recognise those images with high accuracy. Everything happens in Python, so the entire training and evaluation pipeline—including data loaders, augmentation, model definition, loss functions, metrics, and experiment tracking—must be written in clean, modular Python code that runs smoothly on a local workstation or GPU server. You will connect preprocessing routines to the raw documents, structure datasets for efficient loading, and iterate through model architectures (CNNs, transformers or other modern backbones). Precise reporting of training curves, confusion matrices, and F1/accuracy scores is essential; the pro...

I’m looking for an experienced Vendor Manager who can take full ownership of our IT-focused staff-augmentation partnerships. Day to day, you will be the primary point of contact for each supplier, scheduling and leading the recurring check-ins that keep everyone aligned on head-count, contract terms, and upcoming skill needs. A large part of the role is welcoming new vendors. I’ll rely on you to steer the entire onboarding process—from the first introductory call through credential verification, tool access, and final approval—so new partners can start submitting qualified candidates without delay. Because all of our engagements revolve around technology talent, prior experience dealing with IT or tech service providers is essential. You should already ...

I want a crisp, visually polished capability statement that I can send to prospective U-S clients when introducing our IT staffing firm. The document must tell a clear, confident story in a single glance, so please bring both strong copy-editing skills and sharp layout instincts. Content to include • Company overview • Core competencies in IT staffing and project augmentation • Past performance highlights (I will supply bullet points) • Proof of our DFW MSDC minority certification and our active SAM registration Branding Our color palette and typography are already live on ; mirror that look so the statement feels like a natural extension of our existing material. If you need exact hex values I can fetch them, but an eyedropper from the site should ...

We are a company specializing in Staff Augmentation and Business Process Outsourcing (BPO) services for the insurance, financial, and commercial sectors in the United States. The company operates delivery centers in LATAM and also develop technology solutions focused on contact center automation and system digitalization. We are seeking a digital marketing agency or a specialist with proven B2B demand generation experience to support the promotion of our Staff Augmentation services and manage our digital channels. The ideal agency should be fully bilingual, with all content developed in English and targeted to the U.S. market. Required capabilities include: * Google Ads and performance marketing expertise * Conversion tracking through pixels, events, and funnels * Funnel a...

...that spots vehicles with high accuracy. Because I do not yet have a labeled dataset, the job begins with sourcing or capturing varied vehicle images and annotating them in classic YOLO format. Once the dataset is in place, the next step is to train and validate the network—YOLOv5 or YOLOv8 are both fine as long as the final mAP holds up under real-world conditions. Please apply best-practice augmentation, tune hyper-parameters, and track training with clear metrics so I can reproduce the results later in PyTorch. Deliverables • Curated and fully annotated vehicle image dataset (bounding-box labels in YOLO txt format) • Trained YOLO weights and configuration files • Short report summarising dataset composition, training settings, and evaluation scores ...

I’m...by SHAP values. I already have raw MRI images and basic labels; you would handle the full pipeline—from preprocessing and augmentation through model tuning, inference, and explanation generation. Code should be delivered in clean, modular Python (PyTorch preferred, but TensorFlow is fine if you make a strong case) with Jupyter notebooks for reproducibility. Acceptance criteria • Model must reach the benchmark accuracy we agree on during kickoff. • Grad-CAM overlays and SHAP plots render automatically for each study. • Outputs exportable as JSON for structured data and PNG for visuals. • README explains setup, training steps, and how to plug in new MRI data. If you have prior work combining SHAP and CAM techniques&m...

...library—as long as the final solution is reproducible on a single high-end GPU. Expect to work with a labelled dataset of roughly 100k images; if additional augmentation or cleaning pipelines are needed, include them in your approach. Accuracy matters, but I’m also watching inference speed, so mixed-precision training or model-quantisation tricks are welcome. Timeline is urgent: I’d like a first workable model within days, not weeks, and the polished hand-off shortly after. Deliverables • Python source code and environment file • Trained weight file(s) and clear instructions for re-training • A concise README explaining data prep, training commands, and inference calls • Brief performance report (accuracy, loss curves, infe...

I have a ~12 GB 1hr 15min video of a funeral service, that I would like to be edited with the following amends: - I want to trim the video at the start and end (I have timestamps that I want to use instead of the current length) - There are two points in the video where I would like to overlay two new video files. For context, in the 'main' funeral service video, you hear a song playing and can see a single shot view of a microphone. Instead, I would like to swap in a clip of that song which includes a photo montage that I have made (which was played on-screen at the funeral, but which you cannot see clearly in the footage). This is true for two songs. - I would like to apply some augmenting to the 'main' video: colouration, and touch-ups including (if this is possible...

...when a finger or phalanx is completely absent so that it can be recorded automatically I expect you will combine classical computer-vision preprocessing with a deep-learning model (PyTorch or TensorFlow are fine) and possibly leverage pose-estimation libraries such as MediaPipe or OpenCV for landmark detection. Accuracy matters more than perfection in lighting or background, so robust data-augmentation and domain-adaptation techniques will be key. Phase 1 Train and validate a model that ingests a single hand photograph and returns a JSON or CSV containing joint landmarks, the calculated angles, and a simple missing-phalanges Boolean for each finger segment. Phase 2 Package the model behind an easy interface where I can drop in one or many photos of the same patien...

We want to use the existing data and use other concepts for data augmentation compared to what we have now. Then we want to retrain the machine learning model.

...sharpen response accuracy so the system stays firmly grounded in fact. Right now the core pipeline is a Hugging Face Transformer model wrapped in a Retrieval-Augmented Generation (RAG) layer. I need you to audit the entire flow, diagnose where and why hallucinations appear, and then apply proven mitigation techniques. That could involve prompt engineering, better retrieval logic, truth-focused data augmentation, fine-tuning, or introducing guard-rail frameworks—whatever combination delivers measurably higher factual precision. Deliverables • A revised model or inference pipeline that demonstrably improves response accuracy (verified on my held-out benchmark). • Evaluation report with automatic metrics (e.g., factual consistency, BERTScore) plus a smal...

I need a small-scale AI model or script that reliably turns an input photo into a cartoon-style portrait with moderate detail. The focus is squarely on portraits, not landscapes or abstract work, and I’m after a playful yet recognisable look—clean...micro-web app with clear instructions • A brief README covering environment setup, dependencies and usage • Five sample outputs that demonstrate the expected moderate level of detail Acceptance criteria: given a 1024×1024 photo, the system produces a 1024×1024 cartoon portrait within 60 s on an RTX-class GPU, preserving likeness and meeting the stylistic brief above. Feel free to suggest data augmentation tricks or post-processing tweaks you find useful—I’m open to ideas that imp...

...EfficientNet, MobileNet, or a vision transformer—as long as the final model meets the accuracy targets we set together. Feel free to work in PyTorch or TensorFlow/Keras; I’m comfortable deploying either. What I’ll provide • A structured folder of training, validation, and test images • Category labels and a brief data dictionary • Access to a GPU instance if you need it What I need back 1. Clean, well-commented code (Jupyter notebook or Python scripts) that handles preprocessing, augmentation, training, and evaluation. 2. Trained weights plus an inference script that loads one or more images and returns the predicted class with confidence scores. 3. A concise report (Markdown or PDF) covering model architecture, key hyper-paramete...

...an end-to-end deep learning system that performs pixel-level flood segmentation on satellite imagery in real time. The model accurately identifies flooded areas from Sentinel-2 or similar multispectral satellite data and generates instant flood maps — ideal for disaster response, emergency management, agriculture monitoring, and urban planning. Key Highlights & Technical Achievements: Built a UNet-ResNet34 architecture that delivers high-precision binary and multi-class segmentation on satellite images. Designed a complete AI pipeline including data preprocessing, image augmentation, model training, real-time inference, and visualization of flood masks. Deployed the model as a production-ready REST API using FastAPI, enabling instant predictions via a sin...

...Saturn-inspired lamp shade that slips neatly onto the IKEA STRÅLA table lamp with its E14 socket. The shade will be printed in PLA, so wall thickness and overhangs must be optimized for single-material FDM printing without excessive support. Im aiming to improve the existing products , functionality, ergonomics and handleability by incorporating at least another 3D printing theme (specified below). The augmentation should be able to separate from the existing design. without damaging it. - Work in SolidWorks, or similar CAD, that’s perfect; just be sure the final file exports cleanly to STL (and ideally 3MF) and all assembly files Deliverables • Editable CAD file (native format) • Watertight STL/3MF ready for PLA printing • Brief print-orientat...