FYP2 Image Dataset
Versions
2022-10-26 9:41am
v24
Oct 26, 2022
2022-09-23 11:32pm
v23
Sep 23, 2022
2022-09-23 2:12am
v22
Sep 22, 2022
2022-09-05 11:27pm
v19
Sep 5, 2022
2022-09-05 10:55pm
v18
Sep 5, 2022
2022-09-05 10:53pm
v17
Sep 5, 2022
2022-09-04 2:10pm
v15
Sep 4, 2022
2022-09-04 1:59pm
v13
Sep 4, 2022
2022-09-04 2:45am
v12
Sep 3, 2022
2022-09-04 2:31am
v11
Sep 3, 2022
2022-09-04 1:48am
v9
Sep 3, 2022
2022-09-03 7:12pm
v8
Sep 3, 2022
V5
v6
Sep 3, 2022
2022-09-03 6:48pm
v5
Sep 3, 2022
V3
v3
Sep 3, 2022
V2
v2
Sep 3, 2022
V1
v1
Sep 3, 2022
v24
2022-10-26 9:41am
Generated on Oct 26, 2022
Popular Download Formats
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.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
384 Total Images
View All Images
Dataset Split
Train Set 90%
344Images
Valid Set 8%
32Images
Test Set 2%
8Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
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