Avocado Defect Detection Dataset
Versions
2024-08-15 3:11pm
v11
· a month ago
2024-08-14 5:28pm
v10
· a month ago
2024-08-14 4:18pm
v9
· a month ago
2024-08-13 6:38pm
v8
· a month ago
2024-08-13 1:49pm
v7
· a month ago
2024-08-10 5:35pm
v6
· a month ago
2024-08-09 7:10pm
v5
· a month ago
2024-08-09 6:46pm
v4
· a month ago
2024-08-07 8:42pm
v2
· 2 months ago
v11
2024-08-15 3:11pm
Generated on Aug 15, 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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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887 Total Images
View All Images
Dataset Split
Train Set 88%
783Images
Valid Set 8%
69Images
Test Set 4%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 300x300
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -12% and +12%
Exposure: Between -7% and +7%