物体検出 Jobs

I need a computer-vision pipeline that can ingest an uploaded logo image (PNG or JPG) together with a video file and then return every instance of that logo throughout the clip. The videos that come in will be MP4, AVI, or MOV, and the solution must run smoothly. Here’s how I picture the workflow: • The script accepts the logo and video paths from a simple CLI or minimal API endpoint. • It scans each frame, flags every logo hit, and outputs a tidy JSON or CSV that lists, for each detection, the start timestamp, on-screen duration, and bounding-box coordinates. • No extra training or fine-tuning whenever a new logo is supplied—the detector should work right away with whatever image is uploaded. I’m after well-commented, maintainable code, and I&rsquo...

I have a Python script that controls an antenna array and performs object detection with a basic Hamming-windowed FFT. While it works, the range resolution is still too coarse for my needs. I began experimenting with the MUSIC algorithm and even toyed with the idea of adding a continual-learning loop, but I would like a cleaner, expertly implemented solution—whether that is MUSIC, ESPRIT, a refined windowing strategy, or any other modern signal-processing method you can justify. Here is the current landscape: • Language & stack: Python with NumPy, SciPy and Matplotlib. • Key variable: signal-processing methods drive the entire detection chain, so any change must integrate cleanly with the existing pipeline. • Desired outcome: a measurable, demonstrable improve...

Need someone to look at my camera images for a hit and run ( 3days)

Title: Image Annotation Specialist (LabelMe) + YOLO Dataset Preparation (34–36 Classes) — Phase 1: Image Scrubbing & Classification Description: I am building an AI-based visual inspection system using real-world highway images and need support preparing a high-quality dataset for YOLO training. This is a structured, multi-phase project. Accuracy, consistency, and attention to detail are critical. ⚠️ Important: This job will begin with Phase 1 only (image scrubbing and classification). Further phases (annotation and YOLO dataset preparation) will follow based on performance. --- Scope of Work: Phase 1 – Image Scrubbing & Pre-Classification (Current Phase) This is the most critical step of the project. * Review large volumes of real-world highway images (h...

Computer Vision Developer – Sports Video Analysis (Mobile-Based) Description: We are looking for a skilled computer vision developer to assist with building a prototype system that analyses sports video captured from smartphones. The goal is to detect and track fast-moving objects, identify key events within video footage, and generate structured outputs (e.g. timestamps, event detection, basic classifications). This is an early-stage prototype, so we are looking for someone who can work quickly, think practically, and help shape the technical approach. Key Responsibilities: Develop object detection and tracking models for fast-moving objects (e.g. ball tracking) Process video input from 1–2 mobile camera angles Detect key events (e.g. impacts, direction changes, motion pa...

I need assistance in developing a web application using UI Bakery and Google Cloud Vision. The main functionality of the app will be object detection. The ideal candidate should have: - Proficiency in UI Bakery for frontend development - Experience with Google Cloud Vision, specifically in object detection - Strong web application development skills - Ability to integrate APIs and ensure smooth functionality Please provide examples of similar work done.

I need an AI-powered image-recognition tool that focuses exclusively on identifying everyday household items. The core requirement is clear: when the model sees a photo, it should reliably detect and classify objects such as chairs, tables, kettles, lamps, and similar items that people typically keep at home. Here is how I picture the workflow and final hand-off: • Model: A well-trained neural network (TensorFlow, PyTorch, or a comparable framework) tuned for object detection/classification. • Dataset handling: Either you assemble and label a suitable open-source dataset or guide me on licensing a ready-made one; in either case, the final dataset or clear reproducibility steps must be included. • Inference pipeline: A simple script or lightweight API endpoint so I can ...