Fruits Detection and Quality Analysis Image Dataset
Versions
2023-06-23 5:27pm
v9
Jun 23, 2023
2023-06-13 12:36am
v8
Jun 12, 2023
2023-06-12 12:09am
v7
Jun 11, 2023
2023-06-10 10:30am
v6
Jun 10, 2023
2023-06-08 3:34pm
v5
Jun 8, 2023
2023-06-08 11:47am
v4
Jun 8, 2023
2023-06-07 11:04pm
v3
Jun 7, 2023
2023-06-06 9:37am
v2
Jun 6, 2023
2023-06-03 2:53pm
v1
Jun 3, 2023
v9
2023-06-23 5:27pm
Generated on Jun 23, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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5215 Total Images
View All Images
Dataset Split
Train Set 83%
4332Images
Valid Set 11%
589Images
Test Set 6%
294Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
manggo-banana-tomato
2474 images
Fresh-Rotten
1000 images
Fruit-detection
2248 images
good-or-defective
2240 images
Fruit-Freshness
5176 images