Fruit and Veggie Image Dataset
Versions
2023-12-06 6:24pm
v9
· 7 months ago
2023-12-06 5:59pm
v8
· 7 months ago
2023-12-03 1:35pm
v7
· 7 months ago
2023-12-03 10:18am
v6
· 7 months ago
2023-11-26 8:38pm
v5
· 7 months ago
2023-11-05 2:03pm
v4
· 8 months ago
2023-11-03 10:19pm
v3
· 8 months ago
2023-11-03 7:13pm
v2
· 8 months ago
2023-10-21 12:34pm
v1
· 8 months ago
v1
2023-10-21 12:34pm
Generated on Oct 21, 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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884 Total Images
View All Images
Dataset Split
Train Set 88%
774Images
Valid Set 8%
74Images
Test Set 4%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x480
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -38° and +38°
Shear: ±23° Horizontal, ±18° Vertical
Noise: Up to 3% of pixels
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