Dataset Versions
Versions
2023-02-17 7:29am
v22
· 2 years ago
2022-09-12 11:32am
v21
· 2 years ago
2022-03-21 11:41am2Classes
v20
· 3 years ago
2022-03-14 2:23pm2ClassesNotRezisedV3
v19
· 3 years ago
2022-03-04 1:22pm2ClassesV2
v18
· 3 years ago
2022-03-03 9:53am2ClassesV1
v17
· 3 years ago
2022-02-21 4:01pmFlipDifAngleV13
v16
· 3 years ago
2022-02-14 2:40pmFlipV12
v15
· 3 years ago
2022-02-14 1:47pmV11
v14
· 3 years ago
2022-02-14 11:45amFlippedV10
v13
· 3 years ago
2022-02-14 11:43amFlippedV9
v12
· 3 years ago
2022-02-14 10:05amWithRightResized672V8
v11
· 3 years ago
2022-02-14 7:38amWithRightResized672V7JustTrain
v10
· 3 years ago
2022-02-10 2:29pmWithRightResized672V6
v9
· 3 years ago
2022-02-10 1:44pmWithRightResized416V5
v8
· 3 years ago
2022-02-08 4:44pmWithRightV5
v7
· 3 years ago
2022-02-08 9:05amV4
v6
· 3 years ago
2022-02-07 4:33pmV3
v5
· 3 years ago
2022-02-07 4:33pm
v4
· 3 years ago
2022-02-07 9:43amV2
v3
· 3 years ago
2022-02-07 8:31amV1
v2
· 3 years ago
2022-02-07 8:26amV0
v1
· 3 years ago
v7
2022-02-08 4:44pmWithRightV5
Generated on Feb 8, 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
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400 Total Images
View All Images
Dataset Split
Train Set 88%
353Images
Valid Set 11%
44Images
Test Set 1%
3Images
Preprocessing
No preprocessing steps were applied.
Augmentations
No augmentations were applied.