Food and Vegetable DetectionYolo Image Dataset
v2
2024-06-11 3:01pm
Generated on Jun 11, 2024
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TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv5.
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COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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2874 Total Images
View All Images
Dataset Split
Train Set 92%
2658Images
Valid Set 4%
108Images
Test Set 4%
108Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
chocolate
3333 images
Fruits-and-Vegetables
2092 images
fruits-L8Wm-hLzB
2358 images
fruits-L8Wm
2358 images
fruits-L8Wm-tk1H
1790 images