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fruit-detection-and-classification/2 (latest)
v2
2023-05-07 11:09am
Generated on
May 6, 2023
Popular Download Formats
YOLOv11
TXT
annotations and YAML config used with YOLOv11.
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.
Other Formats
Choose another format.
4055 Total Images
View All Images
Dataset Split
Train
Set
88%
3549Images
Valid
Set
8%
337Images
Test
Set
4%
169Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 600x600
Augmentations
Outputs per training example:
3
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
Crop:
0% Minimum Zoom, 20% Maximum Zoom
Grayscale:
Apply to 15% of images
Saturation:
Between -25% and +25%
Brightness:
Between -25% and +25%
Bounding Box: Flip:
Horizontal, Vertical
Bounding Box: Exposure:
Between -25% and +25%
Bounding Box: Blur:
Up to 4px
Bounding Box: Noise:
Up to 10% of pixels
