Dataset Versions
Versions
no-augmentation-2
v13
· 3 years ago
80-10-10-noAugment
v12
· 3 years ago
no-augmentation
v11
· 3 years ago
update_v3
v9
· 3 years ago
update_v2
v5
· 3 years ago
update normal image - 1.5k images
v4
· 3 years ago
cucumber-v1
v3
· 3 years ago
phantrang va suongmai
v2
· 3 years ago
phantrang
v1
· 3 years ago
v9
update_v3
Generated on Nov 16, 2021
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.
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1566 Total Images
View All Images
Dataset Split
Train Set 90%
1410Images
Valid Set 5%
78Images
Test Set 5%
78Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Hue: Between -5° and +5°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 2px