84 + 44 after zip and combine Image Dataset
Versions
2023-11-10 2:09pm
v32
Nov 10, 2023
2023-07-05 3:50pm
v31
Jul 5, 2023
2023-06-19 9:21pm
v30
Jun 19, 2023
grayscaling
v29
Jun 16, 2023
10000iteration_512x512
v28
Jun 12, 2023
10000iteration_320x320
v27
Jun 11, 2023
10000iteration_640x640
v26
Jun 9, 2023
10000iteration_416x416
v25
Jun 8, 2023
voc only
v24
Jun 8, 2023
2023-06-08 6:41pm
v23
Jun 8, 2023
80-13-7-perfect
v22
Jun 7, 2023
2023-06-07 9:05pm
v21
Jun 7, 2023
let-s get started
v20
Jun 7, 2023
2023-06-07 8:48pm
v19
Jun 7, 2023
2023-06-07 8:36pm
v18
Jun 7, 2023
7June_SSD416x416_20000iteration
v17
Jun 7, 2023
2023-06-05 8:57pm
v16
Jun 5, 2023
2023-06-05 8:38pm
v15
Jun 5, 2023
2023-06-03 11:47am
v14
Jun 3, 2023
80-13-6
v13
Jun 3, 2023
2023-06-03 11:33am
v12
Jun 3, 2023
2023-06-03 11:32am
v11
Jun 3, 2023
2023-06-03 11:28am
v10
Jun 3, 2023
2023-06-03 11:25am
v9
Jun 3, 2023
2023-06-03 11:23am
v8
Jun 3, 2023
2023-06-03 11:22am
v7
Jun 3, 2023
90_6_4
v6
Jun 1, 2023
2023-06-01 3:03pm
v5
Jun 1, 2023
to test Quantization aware
v4
Nov 20, 2022
2022-10-19 9:45pm
v3
Oct 19, 2022
2022-10-19 9:39pm
v2
Oct 19, 2022
2022-10-19 9:37pm
v1
Oct 19, 2022
v32
2023-11-10 2:09pm
Generated on Nov 10, 2023
Popular Download Formats
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.
1528 Total Images
View All Images
Dataset Split
Train Set 100%
1528Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
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