Start with the simplest reproducible training loop you can explain.
competition prep
A pre-flight checklist for image competitions when you only have free cloud GPU access.
Guide body
This section keeps the judgments and prep points worth understanding first.
Start with the simplest reproducible training loop you can explain.
Split data carefully before chasing augmentations or larger backbones.
Save one clean baseline submission before experimenting with stronger models.
Keep exploring
These cards connect the guide back to concrete competition entries.
Computer Vision
妮娜皇后葡萄是高端红色鲜食葡萄品种,其商品外观和市场价值与果皮着色程度密切相关。随着果实发育,果皮由绿色、黄绿色逐渐转为粉红色、红色和深红色。准确识别果粒着色阶段,可为田间监测、果穗管理、分批采收和商品分级提供依据。 传统判断主要依赖人工观察,容易受到经验、光照、拍摄角度和个体差异影响。与此同时,阴影、高光反射、设备色差、果粉覆盖、果粒遮挡及着色不均等…
Registration
5 days left
Prize
CNY 10,000
Difficulty
Intermediate
Registration deadline · Sep 28, 2026 · Event ends Oct 24, 2026
Computer Vision
现有农业动作识别数据集多为固定摄像头、无人机等第三方视角采集,难以适配阳光玫瑰实际种植场景。阳光玫瑰棚架栽培模式下,农膜、枝叶易形成多层遮挡,传统设备无法稳定捕捉工人手部、果穗及操作工具的细节特征。 同时,田间劳作动作幅度小、操作对象相似度高,且与作物、工具紧密交织,大幅提升了识别难度。相较于第三方视角,智能眼镜第一人称视角可近距离记录真实作业过程,精…
Registration
5 days left
Prize
CNY 10,000
Difficulty
Intermediate
Registration deadline · Sep 28, 2026 · Event ends Oct 24, 2026
Computer Vision
玉米出苗期是形成基本苗数量和群体结构的关键阶段。传统人工调查存在效率低、劳动强度大和主观性强等问题,难以满足大面积农田快速监测需求。无人机低空影像能够快速获取田间苗情信息,为玉米苗自动识别与数量统计提供数据基础。 本赛题面向真实玉米田复杂场景,重点考察参赛模型对小尺度玉米苗的检测能力,以及在不同光照、土壤背景、阴影和拍摄高度条件下的鲁棒性与泛化能力。
Registration
5 days left
Prize
CNY 10,000
Difficulty
Intermediate
Registration deadline · Sep 28, 2026 · Event ends Oct 24, 2026