plant_detection Image Dataset
Versions
2023-02-08 1:52am
v16
Feb 7, 2023
2023-02-08 1:50am
v15
Feb 7, 2023
2023-02-07 11:10pm
v14
Feb 7, 2023
2023-02-07 11:09pm
v13
Feb 7, 2023
2023-02-07 3:18am
v12
Feb 6, 2023
2023-02-07 1:37am
v11
Feb 6, 2023
2023-02-06 3:06pm
v10
Feb 6, 2023
2023-02-06 3:02pm
v9
Feb 6, 2023
2023-02-06 2:57pm
v8
Feb 6, 2023
2023-02-06 2:57pm
v7
Feb 6, 2023
2023-02-06 2:57pm
v6
Feb 6, 2023
2023-02-06 2:57pm
v5
Feb 6, 2023
2023-02-06 2:57pm
v4
Feb 6, 2023
2023-02-06 2:57pm
v3
Feb 6, 2023
2023-02-06 2:57pm
v2
Feb 6, 2023
2023-02-06 2:56pm
v1
Feb 6, 2023
v16
2023-02-08 1:52am
Generated on Feb 7, 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.
291 Total Images
View All ImagesDataset Split
Train Set 100%
291Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Similar Projects
Plants01
30 images
plants01
30 images
plants02
30 images
plants01
30 images
plants
29 images