Fruit Freshness Dataset
Versions
2024-08-23 1:14pm
v12
· a month ago
2024-08-23 9:57am
v11
· a month ago
2024-08-23 9:41am
v10
· a month ago
2024-08-21 12:36pm
v9
· a month ago
2024-08-13 3:45pm
v8
· a month ago
2024-08-12 2:40pm
v7
· a month ago
2024-08-12 10:13am
v4
· a month ago
2024-08-11 5:38pm
v3
· a month ago
2024-08-11 4:53pm
v2
· a month ago
2024-08-08 11:10am
v1
· a month ago
v4
2024-08-12 10:13am
Generated on Aug 12, 2024
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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.
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237 Total Images
View All Images
Dataset Split
Train Set 95%
225Images
Valid Set 3%
6Images
Test Set 3%
6Images
Preprocessing
Auto-Orient: Applied
Static Crop: 28-75% Horizontal Region, 18-75% Vertical Region
Resize: Fit (reflect edges) in 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 44% Maximum Zoom
Rotation: Between -11° and +11°
Bounding Box: Exposure: Between -10% and +10%