Dataset Versions
Versions
2022-04-22 8:42pm
v34
· 3 years ago
2022-04-22 8:42pm
v33
· 3 years ago
2022-04-22 8:41pm
v32
· 3 years ago
2022-04-22 8:40pm
v31
· 3 years ago
2022-04-22 8:39pm
v30
· 3 years ago
2022-04-22 8:38pm
v29
· 3 years ago
2022-04-22 8:38pm
v28
· 3 years ago
2022-04-22 8:38pm
v27
· 3 years ago
2022-04-22 8:37pm
v26
· 3 years ago
2022-04-22 11:54am
v25
· 3 years ago
2022-04-22 11:19am
v24
· 3 years ago
2022-04-22 11:18am
v23
· 3 years ago
2022-04-22 11:17am
v22
· 3 years ago
2022-04-21 2:29pm
v21
· 3 years ago
2022-04-21 2:29pm
v20
· 3 years ago
2022-04-21 2:28pm
v19
· 3 years ago
2022-04-21 2:27pm
v18
· 3 years ago
2022-04-21 2:26pm
v17
· 3 years ago
2022-04-21 2:25pm
v16
· 3 years ago
2022-04-19 4:03pm
v15
· 3 years ago
2022-04-19 3:39pm
v14
· 3 years ago
2022-04-19 3:39pm
v13
· 3 years ago
2022-04-19 3:38pm
v12
· 3 years ago
2022-04-19 3:37pm
v11
· 3 years ago
2022-04-19 3:35pm
v10
· 3 years ago
2022-04-19 3:34pm
v9
· 3 years ago
2022-04-19 3:33pm
v8
· 3 years ago
2022-04-19 3:23pm
v7
· 3 years ago
2022-04-19 3:20pm
v6
· 3 years ago
cutout
v5
· 3 years ago
2022-04-18 8:06pm
v4
· 3 years ago
2022-04-18 8:05pm
v3
· 3 years ago
no aug
v2
· 3 years ago
2022-04-18 7:57pm
v1
· 3 years ago
v10
2022-04-19 3:35pm
Generated on Apr 19, 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.
90 Total Images
View All Images
Dataset Split
Train Set 100%
90Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Brightness: Between -10% and +10%
Mosaic: Applied
Bounding Box: Rotation: Between -5° and +5°
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical