Agriculture Farm Fresh Produce Set

A clean, first-party captured multimodal visual dataset designed specifically for computer vision (CV), machine learning (ML), and artificial intelligence model training. This dataset contains 286 high-quality assets capturing agricultural farm operations, fresh produce, botanical structures, and outdoor crop fields. Detailed macro produce, fruit varieties, leafy greens, root vegetables, and active farm harvesting conditions. Multimodal Asset Breakdown: 243 High-Resolution Photos, 25 Scalable SVG Vectors, 18 HD videos Metadata & Technical Quality: Every file includes EXIF camera parameters, rich IPTC core metadata. Includes master CSV and structured json files for immedate batch ingestion into computer vision pipelines. C2PA content credentials to guarantee 100% first-party origin. Key use cases: Computer vision object detection, semantic segmentation, and crop classification. Agtech precision farming algorithms, and fruit ripeness grading. Visual-language model (VLM) grounding and synthetic data validation Delivery method : Download package delivered via secure cloud storage links.