Dataset Versions
Versions
2023-03-20 2:17pm
v28
· 2 years ago
2022-09-22 8:16am
v27
· 2 years ago
2022-09-16 9:10am
v26
· 2 years ago
2022-08-08 8:36pm
v25
· 2 years ago
2022-07-28 10:52am
v24
· 2 years ago
2022-07-28 10:49am
v23
· 2 years ago
2022-07-21 2:04pm
v22
· 2 years ago
2022-07-20 10:25pm
v21
· 2 years ago
2022-07-07 9:51am
v20
· 2 years ago
2022-07-01 4:15pm
v19
· 2 years ago
cut2x
v18
· 2 years ago
640
v17
· 2 years ago
1280
v16
· 2 years ago
m-x
v15
· 2 years ago
battery6-10
v14
· 3 years ago
2022-06-19 9:09pm
v13
· 3 years ago
battery6_9
v12
· 3 years ago
battery6_8
v11
· 3 years ago
battery6_7
v10
· 3 years ago
battery6_6
v9
· 3 years ago
battery6_5
v8
· 3 years ago
battery6_4
v7
· 3 years ago
2022-05-26 3:15pm
v6
· 3 years ago
cutout1
v5
· 3 years ago
cutout3
v4
· 3 years ago
battery6_2
v3
· 3 years ago
battery6_1
v2
· 3 years ago
battery6
v1
· 3 years ago
v27
2022-09-22 8:16am
Generated on Sep 21, 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.
2030 Total Images
View All Images
Dataset Split
Train Set 70%
1420Images
Valid Set 20%
415Images
Test Set 10%
195Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 1
Cutout: 3 boxes with 10% size each