Dataset Versions

Versions
2023-03-14 8:21pm
v42
·
2 years ago
tflite version
v41
·
2 years ago
2023-03-11 11:55pm
v40
·
2 years ago
2023-03-11 7:46pm
v39
·
2 years ago
isolated boxes
v38
·
2 years ago
classes-reviewed_baseline
v37
·
2 years ago
Merged bush and pinetree- did not work
v36
·
2 years ago
final_version_v5_v8
v35
·
2 years ago
Merged miniwall and wall
v34
·
2 years ago
Categories reviewed- trees- trucks- poles- bikes- bush- crosswalk- car- bench
v33
·
2 years ago
Categories reviewed- trees- trucks- poles- bikes- bush- crosswalk- car - epoch150- batchsize30- v8n
v32
·
2 years ago
Categories reviewed- trees- trucks- poles- bikes- bush
v31
·
2 years ago
trees- trucks- poles- bikes
v30
·
2 years ago
stephys trial
v29
·
2 years ago
poles and trucks fixed
v28
·
2 years ago
trees fixed
v27
·
2 years ago
baseline
v26
·
2 years ago
2023-03-09 4:58pm
v25
·
2 years ago
2023-03-08 12:39pm
v24
·
2 years ago
2023-03-07 10:42pm
v23
·
2 years ago
2023-03-07 6:57pm
v22
·
2 years ago
cleaned_classes
v21
·
2 years ago
2023-03-06 9:42pm
v20
·
2 years ago
with scaling improvement for 16-9
v19
·
2 years ago
after restructuring classes trees and poles
v18
·
2 years ago
2023-03-06 1:41am
v17
·
2 years ago
2023-03-05 11:22pm
v16
·
2 years ago
2023-03-05 3:46pm
v15
·
2 years ago
2023-03-05 3:41pm
v14
·
2 years ago
with added classes from roboflow
v13
·
2 years ago
baseline
v12
·
2 years ago
2023-03-05 2:22pm
v11
·
2 years ago
with 6000 pictures augmentation- takes more than 3 hours
v10
·
2 years ago
2023-03-05 1:58pm
v9
·
2 years ago
2023-03-05 12:16pm
v7
·
2 years ago
2023-03-05 11:58am
v6
·
2 years ago
2023-03-05 9:36am
v5
·
2 years ago
2023-03-05 7:45am
v4
·
2 years ago
2023-03-04 5:50pm
v3
·
2 years ago
2023-03-04 7:01pm
v2
·
2 years ago
v3

2023-03-04 5:50pm

Generated on Mar 4, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
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.

Dataset Split

Train Set 86%
1008Images
Valid Set 8%
92Images
Test Set 6%
70Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Mosaic: Applied