Padi-detection Image Dataset
Versions
2024-04-28 12:41pm
v23
Apr 28, 2024
2024-04-21 10:27pm
v22
Apr 21, 2024
2024-04-07 2:59pm
v21
Apr 7, 2024
2024-04-07 8:01am
v20
Apr 7, 2024
2024-04-05 9:25pm
v19
Apr 5, 2024
80-
v18
Jan 17, 2024
No augments
v17
Jan 9, 2024
2024-01-07 8:38pm
v16
Jan 7, 2024
2024-01-07 1:12am
v15
Jan 6, 2024
2024-01-07 12:08am
v14
Jan 6, 2024
2023-12-31 3:57pm
v13
Dec 31, 2023
2023-12-03 10:46pm
v12
Dec 3, 2023
yolov8 no augment updated dataset
v11
Dec 3, 2023
752 Images -70-20-10- no augment
v10
Dec 3, 2023
2023-12-03 2:30pm
v9
Dec 3, 2023
yolo v5 no augment
v8
Dec 2, 2023
Rodriguez-test
v7
Dec 1, 2023
yolov8m w augment
v6
Dec 1, 2023
retinanet keras no augment
v5
Dec 1, 2023
yolov8m no augment
v4
Nov 30, 2023
2023-11-30 11:31pm
v3
Nov 30, 2023
2023-11-30 10:49pm
v1
Nov 30, 2023
v3
2023-11-30 11:31pm
Generated on Nov 30, 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.
1661 Total Images
View All Images
Dataset Split
Train Set 88%
1454Images
Valid Set 8%
138Images
Test Set 4%
69Images
Preprocessing
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Saturation: Between -20% and +20%
Bounding Box: Exposure: Between -25% and +25%
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