flower detection34 Image Dataset
Versions
2023-10-26 5:25pm
v13
Oct 26, 2023
2023-09-11 3:08pm
v12
Sep 11, 2023
2023-08-28 3:22pm
v11
Aug 28, 2023
2023-08-25 8:46pm
v10
Aug 25, 2023
2023-07-14 9:41pm
v8
Jul 14, 2023
2023-07-14 9:34pm
v7
Jul 14, 2023
2023-07-09 12:52am
v6
Jul 8, 2023
2023-07-07 4:57pm
v5
Jul 7, 2023
2023-07-07 4:47pm
v4
Jul 7, 2023
2023-05-10 9:20am
v3
May 10, 2023
2023-05-10 9:18am
v2
May 10, 2023
2023-05-10 9:17am
v1
May 10, 2023
v10
2023-08-25 8:46pm
Generated on Aug 25, 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.
Other Formats
Choose another format.
106 Total Images
View All Images
Dataset Split
Train Set 81%
86Images
Valid Set 8%
9Images
Test Set 10%
11Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels
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