Dataset Versions
Versions
700-resize
v41
· a year ago
poledataset
v40
· 2 years ago
test
v39
· 2 years ago
cpcs-trained-data2
v38
· 2 years ago
2023-04-02 2:24am
v37
· 2 years ago
cpcs-trained-data1
v36
· 2 years ago
2023-03-23 2:11pm
v35
· 2 years ago
no_split_data-2023-03-11 3-40pm
v34
· 2 years ago
split_data-2023-03-07 7-08pm
v33
· 2 years ago
2023-02-25 5:55pm
v32
· 2 years ago
mmrotate_without_preproc
v31
· 2 years ago
mmrotate3 700 imgs
v30
· 2 years ago
mmrotate2 700 imgs
v29
· 2 years ago
mmrotate 700 imgs
v28
· 2 years ago
mmrotate 401 imgs
v27
· 2 years ago
mmrotate 250 imgs
v26
· 2 years ago
auto-orient-mmrotate
v25
· 2 years ago
detectron-faster-rcnn
v24
· 2 years ago
Auto-orient version2
v20
· 2 years ago
Auto-orient version
v19
· 2 years ago
Isolate Version
v18
· 2 years ago
2022-10-12 11:04am
v17
· 2 years ago
2022-10-11 4:27pm
v16
· 2 years ago
2022-10-10 3:29pm
v15
· 2 years ago
2022-10-01 6:27pm
v14
· 2 years ago
2022-10-01 11:05am
v13
· 2 years ago
2022-10-01 11:04am
v12
· 2 years ago
2022-10-01 11:03am
v11
· 2 years ago
2022-09-30 8:01pm
v10
· 2 years ago
2022-09-21 3:42pm
v9
· 2 years ago
2022-09-20 10:12pm
v8
· 2 years ago
2022-09-19 10:01pm
v7
· 2 years ago
2022-09-18 9:21pm
v6
· 2 years ago
2022-09-05 12:21pm
v5
· 2 years ago
2022-08-25 12:59am
v4
· 2 years ago
Bamba-Annotate
v3
· 2 years ago
v18
Isolate Version
Generated on Oct 14, 2022
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.
2665 Total Images
View All Images
Dataset Split
Train Set 88%
2334Images
Valid Set 11%
300Images
Test Set 1%
31Images
Preprocessing
Isolate Objects: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Exposure: Between -19% and +19%