Dataset Versions
Versions
2023-12-14 12:36pm
v37
· a year ago
12kMosaic3
v36
· a year ago
12kMosaic2
v35
· a year ago
12kMosaic
v34
· a year ago
ValBoxExposure1
v33
· a year ago
ValBoxRot1
v32
· a year ago
ValPageRot2
v31
· a year ago
ValPageRot1
v30
· a year ago
2023-12-05 9:13pm
v29
· a year ago
2023-12-05 9:13pm
v28
· a year ago
2023-12-05 9:13pm
v27
· a year ago
2023-12-05 9:13pm
v26
· a year ago
2023-12-05 9:07pm
v25
· a year ago
2023-12-05 9:07pm
v24
· a year ago
2023-12-05 9:07pm
v23
· a year ago
2023-12-05 9:06pm
v22
· a year ago
2023-12-05 9:06pm
v21
· a year ago
2023-12-05 9:06pm
v20
· a year ago
2023-12-05 9:03pm
v19
· a year ago
2023-12-05 9:03pm
v18
· a year ago
2023-12-05 9:03pm
v17
· a year ago
2023-12-05 9:03pm
v16
· a year ago
DontUseVersionsBeneath
v15
· a year ago
Mosaic11
v13
· a year ago
Mosaic10
v12
· a year ago
Mosaic9
v11
· a year ago
Mosaic8
v10
· a year ago
Mosaic7
v9
· a year ago
Mosaic6
v8
· a year ago
Mosaic5
v7
· a year ago
Mosaic4
v6
· a year ago
Mosaic3
v5
· a year ago
Mosaic2
v4
· a year ago
Mosaic1
v3
· a year ago
40Imgs
v1
· a year ago
v33
ValBoxExposure1
Generated on Dec 5, 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.
120 Total Images
View All Images
Dataset Split
Train Set 100%
120Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Bounding Box: Exposure: Between -2% and +2%