Dataset Versions
Versions
test3-LBC-Raw-Data2024-09-18 7-32am
v61
· 2 months ago
B30N3B2C9 320 frames64 17k 7class
v60
· 2 years ago
B30N3B2C9 640 frames63 16k 7class
v59
· 2 years ago
B30N3B2C9 640 false5 15k 7class
v58
· 2 years ago
B60N3BC9 1024 false5 15k 7cls
v52
· 2 years ago
B60N3BC9 false5 15k 7cls 2022-07-05 8:53pm
v49
· 2 years ago
B60N3BC9 false5 15k 2cls 2022-07-04 12:15pm
v48
· 2 years ago
BNBC9 false5 15k 2cls 2022-07-01 9:41pm
v46
· 2 years ago
FBBNC9 false5 2cls 15k 2022-07-01 2:17pm
v45
· 2 years ago
BNBFC9 false5 2cls 15k 2022-06-27 9:02pm
v43
· 2 years ago
BNBFEC9 false5 v57 2cls 15k 2022-06-24 8:57pm
v42
· 2 years ago
no aug false5 v57 2cls 5k images 2022-06-19 10:26pm
v40
· 2 years ago
BNBC7 640x640 false5 v57 2 classes 15k 2022-06-19 10:50am
v38
· 2 years ago
BNBCF 1024x1024 false5 v57 2 classes 2022-06-18 10:57am
v36
· 2 years ago
BNBC 320x320 false5 v57 2 classes 2022-06-17 5:55pm
v34
· 2 years ago
BNBC false5 v57 2 classes 15k 2022-06-17 11:35am
v33
· 2 years ago
BNBCF false5 v57 2 classes 15k 2022-06-16 6:17pm
v32
· 2 years ago
BNBC false4 v57 2 classes 15k 2022-06-15 1:59pm
v31
· 2 years ago
BNBC false3 v57 2 classes 10k
v30
· 2 years ago
BNBC false3 v57 2 classes 2022-06-13 1:51pm
v29
· 2 years ago
BNBC false-3 v57 7 classes 2022-06-12 7:06am
v28
· 2 years ago
BNBC v57 3 classes 15k 2022-06-11 11:52am
v27
· 2 years ago
BNBC v57 640 2 classes 15k 2022-06-10 10:08pm
v26
· 2 years ago
BNBC false 2 v55 640 2 classes 15k 2022-06-04 4:29pm
v25
· 2 years ago
BNBC false detections 2 v55 640x640 3classes 15k 2022-06-04 6:55am
v24
· 2 years ago
false detections 2 v55 640x640 3classes 15k
v23
· 2 years ago
v55 false detections 640x640 3classes 15kImages 2022-05-26 10:14am
v22
· 2 years ago
BNB v55-false detections 1 class 2022-05-25 1:25pm
v20
· 2 years ago
BNB Augmented v55 3classes 9kImages Empty Images 15- 2022-05-23 9:32pm
v18
· 3 years ago
All Labelled Data till v55 2022-05-21 10:09am
v17
· 3 years ago
BNB Augmented v55 3 classes 15kImages 2022-05-20 10:40pm
v16
· 3 years ago
B65N2B5 Augmented v54 7 classes 9kImages 2022-05-20 4:15pm
v15
· 3 years ago
B65N2B3 Augmented v54 3 classes 9kImages 2022-05-18 8:22pm
v14
· 3 years ago
BNB Augmented v54 3 classes 9kImages 2022-05-16 4:22pm
v13
· 3 years ago
BNB Augmented v54 2 classes 9kImages 2022-05-15 10:07pm
v12
· 3 years ago
BrightnessNoiseBlur Augmented v52 2 classes 8kImages 2022-05-15 4:10pm
v11
· 3 years ago
BrightnessNoiseBlurCutout Augmented v52 3 classes 8kImages 2022-05-14 8:32pm
v10
· 3 years ago
BrightnessNoiseBlurCutout Augmented video52 3 classes 12kImages 2022-05-13 9:09am
v9
· 3 years ago
BrightnessNoiseBlur Augmented video52 7 classes 8kImages 2022-05-12 11:04pm
v8
· 3 years ago
BrightnessNoiseBlur Augmented video52 3 classes 12kImages 2022-05-12 9:55pm
v7
· 3 years ago
BrightnessNoiseBlur Augmented video52 3 classes 8kImages 2022-05-12 4:30pm
v6
· 3 years ago
Brightness Augmented to 65- till video 52 3 classes 2022-05-12 3:50pm
v5
· 3 years ago
Brightness Augmented Dataset till video52 3 classes 2022-05-08 10:08pm
v4
· 3 years ago
XML issue fixed Dataset till video52 7 classes2022-05-08 11:13am
v3
· 3 years ago
XML issue fixed Dataset till video52 3 classes 2022-05-07 10:34pm
v2
· 3 years ago
Dataset till video44 xml issues fixed 2022-05-06 10:30pm
v1
· 3 years ago
v40
no aug false5 v57 2cls 5k images 2022-06-19 10:26pm
Generated on Jun 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.
4506 Total Images
View All Images
Dataset Split
Train Set 91%
4092Images
Valid Set 9%
413Images
Test Set 0%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 0 remapped, 5 dropped
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 1
Brightness: Between -65% and +0%
Blur: Up to 5px
Noise: Up to 2% of pixels
Cutout: 7 boxes with 5% size each