Dataset Versions
Versions
basic
v27
· 8 months ago
2024-04-10 11:31pm
v26
· 9 months ago
2024-04-10 9:57pm
v25
· 9 months ago
2024-04-10 7:57pm
v24
· 9 months ago
2024-04-10 7:52pm
v23
· 9 months ago
2024-04-10 7:35pm
v22
· 9 months ago
2024-04-10 7:12pm
v21
· 9 months ago
2024-04-10 7:12pm
v20
· 9 months ago
2024-04-10 7:12pm
v19
· 9 months ago
2024-04-10 7:11pm
v18
· 9 months ago
2024-04-10 7:09pm
v17
· 9 months ago
2024-04-10 5:49pm
v16
· 9 months ago
2024-04-10 5:49pm
v15
· 9 months ago
2024-04-10 4:47pm
v14
· 9 months ago
2024-04-10 4:26pm
v12
· 9 months ago
2024-04-10 4:08pm
v11
· 9 months ago
2024-04-10 2:34pm
v10
· 9 months ago
abd
v9
· 9 months ago
2024-04-10 1:46pm
v8
· 9 months ago
2024-04-10 1:03pm
v7
· 9 months ago
acd
v6
· 9 months ago
abcd
v5
· 9 months ago
new_orignal_g3
v4
· 9 months ago
2024-04-10 11:33am
v3
· 9 months ago
all_green3
v2
· 9 months ago
orignal_green3
v1
· 9 months ago
v25
2024-04-10 9:57pm
Generated on Apr 10, 2024
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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2940 Total Images
View All Images
Dataset Split
Train Set 95%
2800Images
Valid Set 2%
70Images
Test Set 2%
70Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Hue: Between -180° and +180°