Dataset Versions
Versions
Ripped
v10
· 8 months ago
Augmented_Ripped
v9
· 8 months ago
Augmented_Mature
v8
· 8 months ago
Mature
v7
· 8 months ago
EarlyFruit
v6
· 8 months ago
Augmented_EarlyFruit
v5
· 8 months ago
flower
v4
· 8 months ago
Augmented_flower
v3
· 8 months ago
Augmented_bud
v2
· 8 months ago
Bud
v1
· 8 months ago
v5
Augmented_EarlyFruit
Generated on Apr 23, 2024
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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397 Total Images
View All Images
Dataset Split
Train Set 92%
366Images
Valid Set 4%
16Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%