Dataset Versions
Versions
2022-04-29 8:10pm
v28
· 3 years ago
9 ROT BOUNDING
v27
· 3 years ago
GIRO-BOUNDING
v26
· 3 years ago
BOUNDING-FLIP-VERTICAL
v25
· 3 years ago
BOUNDING-FLIP-HORIZONTAL
v24
· 3 years ago
0-35 ZOOM
v23
· 3 years ago
0-20
v22
· 3 years ago
FLIP-HORIZONTAL
v21
· 3 years ago
Flip-vertical
v20
· 3 years ago
2022-04-21 1:43am
v19
· 3 years ago
2022-04-05 4:50pm
v18
· 3 years ago
2022-04-05 1:42pm
v17
· 3 years ago
2022-04-05 1:40pm
v16
· 3 years ago
2022-04-05 1:31pm
v15
· 3 years ago
2022-04-05 1:27pm
v14
· 3 years ago
2022-04-05 1:23pm
v13
· 3 years ago
2022-04-05 1:21pm
v12
· 3 years ago
2022-04-05 12:18am
v11
· 3 years ago
2022-04-05 12:17am
v10
· 3 years ago
2022-04-05 12:16am
v9
· 3 years ago
2022-04-04 4:24pm
v8
· 3 years ago
2022-04-04 4:23pm
v7
· 3 years ago
2022-04-04 4:22pm
v6
· 3 years ago
2022-04-04 4:20pm
v5
· 3 years ago
2022-04-04 3:59pm
v4
· 3 years ago
2022-04-04 3:58pm
v3
· 3 years ago
2022-04-04 3:55pm
v2
· 3 years ago
2022-04-04 3:24pm
v1
· 3 years ago
v13
2022-04-05 1:23pm
Generated on Apr 5, 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.
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480 Total Images
View All ImagesDataset Split
Train Set 100%
480Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Augmentations
Outputs per training example: 3
Mosaic: Applied