Dataset Versions
Versions
2023-07-27 11:49am
v36
· a year ago
curcit_aug_opencv
v35
· a year ago
curcit_augmentation
v34
· a year ago
for_train_image
v33
· a year ago
remove mist
v32
· a year ago
2023-07-21 8:15pm
v31
· a year ago
2023-07-21 5:50pm
v30
· a year ago
cie
v29
· a year ago
re_c-split-
v28
· a year ago
re_c
v27
· a year ago
imsi_nayoung
v25
· a year ago
2023-07-16 8:25pm
v24
· a year ago
2023-07-13 9:06pm
v23
· a year ago
2023-07-13 5:48pm
v22
· a year ago
YSYS
v21
· a year ago
2023-07-13 3:59pm
v20
· a year ago
2023-07-13 3:46pm
v19
· a year ago
-convolution-20-
v17
· a year ago
2023-07-12 9:03pm
v16
· a year ago
2023-07-12 7:20pm
v15
· a year ago
2023-07-12 6:30pm
v14
· a year ago
2023-07-10 6:56pm
v13
· a year ago
2023-07-10 4:57pm
v12
· a year ago
2023-07-10 4:56pm
v11
· a year ago
2023-07-10 4:53pm
v10
· a year ago
2023-07-10 3:34pm
v9
· a year ago
2023-07-07 6:15pm
v8
· a year ago
dataset
v7
· a year ago
2023-07-07 2:12pm
v4
· a year ago
v14
2023-07-12 6:30pm
Generated on Jul 12, 2023
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.
Other Formats
Choose another format.
12944 Total Images
View All Images
Dataset Split
Train Set 88%
11328Images
Valid Set 8%
1072Images
Test Set 4%
544Images
Preprocessing
Resize: Stretch to 1200x1200
Tile: 4 rows x 4 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -50° and +50°
Saturation: Between -70% and +70%
Brightness: Between -35% and +35%